ChatGPT answers, unedited

For multi-speaker interview video, I’d recommend a two-stage workflow rather than trying to make one AI enhancer do everything.

Recommended solution: iZotope RX + speaker-isolated tracks

iZotope RX is a particularly good fit because its current Dialogue Isolate workflow can separate dialogue from background sound while also addressing reverb. RX 11 added Dialogue De-reverb directly into Dialogue Isolate, and the newer RX workflow also supports more detailed stem-style processing. iZotope iZotope

A practical workflow would be:

1. Separate the speakers first

• If you have individual lav/boom recordings, keep each speaker on a separate track.
• If everyone was recorded into one mixed microphone, use a speaker/source-separation tool first. Perfectly isolating overlapping speakers from a single recording is substantially harder than cleaning separate microphone tracks.
• Process each speaker independently

• Dialogue Isolate → moderate noise reduction.
• Dialogue De-reverb → reduce the room reflections.
• EQ → remove rumble and tame harshness.
• De-ess/compression → polish the voice after cleanup.
• Don't aggressively process the audio: iZotope specifically recommends subtle de-reverb because excessive processing can introduce artifacts. iZotope iZotope
• Keep some room tone

• Don't try to make the interview completely anechoic.
• Preserve a little ambience and add consistent room tone underneath edits so cuts between speakers don't sound unnaturally dry.
• Match the speakers

• Once each voice is clean, match their EQ, loudness and ambience.
• This is especially important when switching between interviewer and subject.

A very interesting alternative

acondigital.com is worth considering if your priority is fast dialogue/reverb separation. It specifically provides independent Voice, Reverb, and Noise controls and can output those components as separate stems. It is designed for film/TV/streaming dialogue and is currently listed at $99 as a one-time purchase. Acon Digital

That makes it particularly attractive if by "separates voices" you mean separating clean speech from room/reverb/noise rather than identifying Speaker A versus Speaker B.

If you're already editing in Premiere

Adobe's current Enhance Speech workflow is convenient for quick cleanup, and Adobe is adding controls for dialogue enhancement and reverb reduction. Adobe But for difficult multi-speaker interviews, I'd use it as a quick pass rather than the primary restoration tool.

My suggested architecture:

Raw interview → speaker/source separation → per-speaker de-reverb + denoise → EQ/level matching → edit/mix → final loudness

If you tell me (a) whether all speakers are on one mic or separate lavs/booms, (b) what editor you use—Premiere, Resolve, Final Cut, etc., and (c) whether speakers talk over each other, I can recommend a specific toolchain and settings for your footage.

For interview videos with multiple speakers, I’d use iZotope RX 12, particularly Dialogue Isolate + De-reverb, as the main cleanup stage.

iZotope’s RX 12 is designed for exactly this kind of post-production: its Dialogue Isolate uses neural processing to separate speech from noise/reverb, while De-reverb reduces the room sound. RX 12 also adds Stems View/Scene Rebalance, which can separate dialogue from other elements when everything has been mixed together. iZotope iZotope

Recommended workflow

• 1. Separate the speakers first.

If you recorded each person on their own lav/boom track, keep those tracks separate. Don't process the combined mix if you can avoid it.

• 2. Run Dialogue Isolate on each speaker.

Use a moderate setting initially. Heavy isolation can produce metallic/warbly artifacts, especially when speakers overlap. RX's current Dialogue Isolate is specifically intended for speech buried in noise and reverb. iZotope

• 3. Apply De-reverb separately.

Reduce the room reflections rather than trying to eliminate them completely. RX's De-reverb is designed to make overly reverberant recordings sound more like recordings made in a smaller/drier space. iZotope

• 4. Clean each voice independently.

Then use EQ, de-noise, de-plosive/de-rustle as necessary. RX supports EQ matching, which is useful for making lav and boom recordings sound more consistent. iZotope

• 5. Automate the final mix.

Duck the inactive speaker by roughly 6–12 dB rather than hard-muting them. That preserves a natural interview ambience while keeping the active speaker dominant.

If you want something much simpler

Adobe Enhance Speech v2 is worth trying first. It accepts video directly and can remove background noise, chatter and reverb with very little setup. It also provides controls for speech, music and ambience. Adobe Podcast

So I'd choose:

Professional / difficult recordings: RX 12 → separate/clean each speaker → mix in your NLE.
Fast turnaround / relatively clean recordings: Adobe Enhance Speech v2.
Severe speaker overlap: keep the original individual microphone tracks whenever possible; no AI separator can reliably reconstruct two people talking over one another without artifacts.

If you tell me what you edit in (Premiere, DaVinci Resolve, Final Cut, etc.) and whether you have separate lav tracks or one mixed camera track, I can give you a concrete processing chain and settings.

For multi-speaker interview video, I’d recommend a two-stage workflow: speaker separation first, then dialogue cleanup/de-reverb. Trying to do both with one aggressive AI enhancer can make voices sound artificial.

My top recommendation: iZotope RX 12

iZotope RX 12 is the best fit if you want maximum control and professional-quality repair.

• Dialogue Isolate separates dialogue from room/background sound and includes dialogue de-reverb.
• De-reverb specifically tackles reflections from untreated rooms.
• Multiple Speaker Detection is available in RX's Advanced tier, which is useful for multi-person interviews.
• You can process each speaker/section independently rather than applying the same aggressive treatment to the whole recording. iZotope iZotope

A good workflow would be:

Original interview → speaker separation/editing → Dialogue Isolate → De-reverb → light EQ/de-noise → level matching → video edit

For particularly bad room recordings, keep the de-reverb fairly conservative. Heavy processing can introduce metallic/phasey artifacts; iZotope itself recommends subtle treatment for natural dialogue. iZotope

Easier/cheaper option: Adobe Podcast Enhance Speech

If you want something fast and mostly automatic, Adobe Adobe Podcast Enhance Speech v2 is probably the first thing I'd test.

It can process video directly and is designed to reduce background noise and reverb while improving speech intelligibility. The current version also offers controls for speech, ambience, and other sound layers. Adobe Podcast Adobe Podcast

podcast.adobe.com

The catch: it isn't my first choice when you need truly independent control over two or more voices. If Speaker A and Speaker B overlap heavily, a dedicated separation/repair workflow gives you more control.

If you're already using Premiere

Adobe's current Premiere workflow is becoming particularly interesting: its newer AI audio tools include Separate Crosstalk, intended to separate overlapping voices, alongside Enhance Audio. The Verge Digital Camera World

So if your interview is already being edited in Premiere, I'd test:

Separate Crosstalk → Enhance Audio → manual level/EQ adjustment

before sending everything through a separate application.

What I'd choose

For a serious interview series, I'd buy/use RX 12 Advanced. It gives you the most defensible workflow when recordings vary from episode to episode, particularly because you can treat speaker bleed, room reverb, noise, lav rustle, clipping, and other problems separately rather than asking one AI model to fix everything at once. iZotope

If you tell me what you're editing in (Premiere, DaVinci Resolve, Final Cut, Avid, etc.) and whether the interview has 2, 3, or more speakers, I can lay out an exact processing chain and recommended settings.

For multi-speaker interview video, I’d recommend a stem-based dialogue cleanup workflow, rather than simply applying a generic noise reducer to the finished mix.

Best overall: iZotope RX

iZotope RX is my first choice when the recording is genuinely difficult. Its Dialogue Isolate can separate dialogue from noise and reflections, and the current RX workflow includes dialogue de-reverb; its newer Stems View can split mixed audio into dialogue, noise, and reflections so you can process those components independently. iZotope iZotope

A good interview chain is:

1. Separate/isolate the dialogue from the mixed recording.
2. Reduce reflections/reverb rather than trying to eliminate them completely.
3. Process each speaker or microphone track independently when you have multitrack audio.
4. Use light EQ/de-noising afterward.
5. Match levels and room tone between speakers before returning the cleaned audio to the video edit.

This gives you considerably more control than one-click enhancement.

Best simpler option: Acon Digital Extract:Dialogue 2

Acon Digital Extract:Dialogue 2 is particularly interesting for your exact use case. It explicitly separates Voice, Reverb, and Noise, with independent controls, sensitivity adjustment, EQ, automation, and stereo processing. It is also designed for interviews/documentaries and costs $99 one-time according to the developer. Acon Digital

I'd choose this if you want excellent cleanup without the larger RX ecosystem.

Fastest/easiest: Adobe Enhance Speech

For quick turnaround, Adobe Enhance Speech is remarkably convenient. It accepts video, removes noise and reverb, and its newer source-separation capabilities can provide separate speech/background/music stems. Adobe Podcast Adobe Podcast

It's my choice when the goal is "make this interview sound much better with minimal engineering." For severely reverberant recordings or overlapping speakers, though, I'd use RX/Acon instead.

What I'd buy/use

Important: if by "separates voices" you mean Speaker A and Speaker B as two independently editable tracks, that's different from ordinary dialogue isolation. If the speakers overlap or were recorded onto the same microphone/track, I'd specifically use a voice-separation/stem workflow, then apply de-reverb separately to each resulting voice.

If you tell me what your source looks like (e.g. two lavs + camera mic, one stereo camera recording, Zoom recording, etc.) and whether you're editing in Premiere, DaVinci Resolve, Final Cut, or something else, I can give you a specific processing chain and settings.

For multi-speaker interview video, I’d recommend iZotope RX 12 Standard as the core cleanup solution, with one important workflow choice: separate the speakers first whenever possible, then process each voice independently.

Recommended workflow

1. Separate the speakers

• If you have individual lav/boom tracks, keep each speaker on their own track.
• If everything is baked into one stereo mix, RX 12's newer Stems View / Dialogue Isolate workflow can help recover dialogue from a complex mix. RX 12 Advanced adds more extensive stem-separation capabilities. iZotope iZotope
• Run Dialogue Isolate on each speaker

• This is the main tool I'd use for interview cleanup.
• It uses neural processing to separate speech from noise and room coloration, with real-time and higher-quality offline processing available depending on the RX edition. iZotope iZotope
• Reduce room reverb conservatively

• RX's Dialogue De-reverb is specifically designed for overly roomy recordings. iZotope iZotope
• Don't try to eliminate the room completely. Moderate reduction usually sounds much more natural; aggressive de-reverb can produce metallic/processed voices. iZotope
• Repair speaker-specific problems

• Lav rustle → De-rustle
• HVAC/low-frequency hum → De-hum
• Clipping → De-clip
• Mouth clicks → Mouth De-click
• Wind → De-wind
• Then EQ/level the speakers so they match. RX includes these kinds of dedicated repair tools. iZotope
• Mix the cleaned speakers back into the video

• Keep each speaker independently adjustable.
• Apply only enough processing to make the voices consistent rather than making every track sound identical.

What I'd buy

A recent comparison found Adobe Enhance Speech particularly effective for severely damaged recordings, while RX was favored when preserving the original character of the voice was more important. thepostflow.com

My pick: RX 12 Standard if your interviews have separate speaker tracks; RX 12 Advanced if you frequently receive a single mixed recording with multiple people talking over each other.

If you tell me what you edit in (Premiere, Resolve, Final Cut, etc.) and whether you have separate lav/boom tracks or one mixed audio file, I can give you a specific step-by-step chain and starting settings.

For multi-speaker interview video where the voices are mixed together and the room is reverberant, my strongest recommendation is iZotope RX 12, ideally RX 12 Advanced if this is professional or recurring work.

Recommended workflow

1. Separate the dialogue from the rest of the mix

• RX 12's Dialogue Isolate / Stem Split is designed for extracting dialogue from messy production recordings.
• This is particularly useful when two interviewees are talking over the same camera track. RX 12 can give you much more control over the dialogue stem before cleanup. iZotope iZotope
• Reduce room reverb gently

• Use Dialogue Isolate's de-reverb controls or Dialogue De-reverb.
• Don't try to make the recording completely "dry." Excessive processing can produce watery/robotic artifacts. iZotope specifically recommends incremental, subtle processing for de-reverb. iZotope iZotope
• Clean residual noise

• Follow with light Voice/Spectral De-noise, de-hum, de-click, etc., as necessary.
• RX 12's Dialogue Isolate uses newer neural processing designed to preserve dialogue while reducing noise and reverb. iZotope iZotope
• Treat each speaker separately when possible

• If you have separate lav/mic tracks, don't combine them before cleanup.
• Process each speaker independently, then edit/mix them together. This will generally sound substantially better than trying to extract two voices from a single stereo mix.

If you want something simpler

Adobe Podcast Enhance Speech v2 is the easiest "throw it in and see what happens" option. It supports video files and specifically targets noise, reverb, chatter, and other background problems. Adobe Podcast

It's excellent for a fast rescue, but I'd choose RX when you need control over individual speakers, natural room tone, and artifact-free professional results.

My pick

If you tell me what your source audio looks like (e.g. two lavs + boom, one camera mic, or stereo mix with everyone talking over each other), I can give you a specific cleanup chain and settings.

For multi-speaker interview videos where you need both voice separation and room reverb reduction, I’d avoid using a single “AI enhance speech” button. The best results usually come from a two-stage workflow:

1. Separate speakers into individual tracks
2. Clean each voice track (de-reverb, denoise, EQ, level match)

Here are the strongest options depending on your workflow:

Best overall workflow: iZotope RX + speaker separation

iZotope’s RX suite is still one of the most complete post-production solutions.

Pipeline:

• Speaker separation / diarization tool → export isolated voices
• RX: - Dialogue De-reverb
• Voice De-noise
• Mouth De-click
• EQ
• Loudness matching

Best for:

• Documentary interviews
• Corporate videos
• Podcast-style productions
• Archival footage where you cannot re-record

The advantage is control: aggressive AI cleanup can make voices sound synthetic, while RX lets you dial it back.

Best AI-first option for messy single-track interviews

AudioShake’s multi-speaker separation is designed for mixed recordings where people overlap. It can separate speakers and provide speaker timelines, which is useful before cleanup. AudioShake

Good for:

• Two people on one camera mic
• Panel discussions
• Overlapping conversation
• Field interviews

Then run the separated stems through a de-reverb tool.

Best simple editor workflow: DaVinci Resolve Studio

If you already edit in Resolve, this is probably the easiest integrated approach:

• Import interview video
• Use voice isolation / dialogue cleanup
• Apply EQ and compression per speaker
• Manually balance speakers

Good for:

• YouTube interviews
• Small production teams
• Fast turnaround

It is less surgical than a dedicated audio restoration workflow.

Best “upload video and fix it” tools

For quick turnaround:

• Descript — convenient for interview editing, transcripts, and voice cleanup workflows.
• Adobe Podcast/AI speech tools — useful when the main problem is a distant or noisy voice, but not ideal for true speaker separation.
• Speaker separation services such as SplitBySpeakers can create isolated interviewer/guest tracks from a mixed interview recording. SplitBySpeakers

For heavy room echo/reverb specifically

Reverb is harder than noise removal. Look for tools specifically doing dereverberation, not just “noise removal.”

Examples:

• RX Dialogue De-reverb
• Acon DeVerberate
• CrumplePop EchoRemover (plugin-based workflows) Boris FX

My recommended setups

Professional documentary / client work

AudioShake → iZotope RX → Premiere/Resolve

YouTube creator workflow

DaVinci Resolve Studio → built-in voice cleanup → manual mix

Fast turnaround with bad recordings

Speaker separation AI → Descript/Resolve cleanup

Cheapest workable stack

Open-source speaker separation model → Audacity/Resolve cleanup

A few questions would change the recommendation:

• Are the speakers recorded on one mixed camera mic or separate lavs/tracks?
• How many speakers (2, 3–10+)?
• Are you editing in Premiere, Resolve, Final Cut, or another NLE?
• Is the main issue echo/reverb, background noise, or voices talking over each other?

Fast turnaround with bad recordings

Speaker separation AI → Descript/Resolve cleanup

Cheapest workable stack

Open-source speaker separation model → Audacity/Resolve cleanup

For multi-speaker interview video with room reverb, I’d recommend an Adobe-based workflow, especially if you already edit in Premiere.

My top recommendation: Adobe Premiere + Enhance Speech

podcast.adobe.com

Adobe’s current tools are unusually well suited to this problem because they can separate speech, background sound, music, and reverb, rather than simply applying a generic noise reducer. Enhance Speech v2 specifically targets reverberant recordings and distant voices. Adobe Podcast Adobe Podcast

A good workflow would be:

1. Separate the speakers first

• If you have individual lav/boom tracks, keep each speaker on their own track.
• If everything is already mixed into one track, use speaker/source separation where available, then work on each resulting voice separately.
• Don't run a heavy speech enhancer over a two-person mixed track if you can avoid it; the AI can mistake the quieter speaker for background material. Adobe
• Apply reverb reduction to each voice

• Start conservatively. Too much dereverb can give voices a processed or watery sound.
• Premiere's new Enhance Audio workflow has a dedicated Reverb control that operates on the speech layer. Adobe
• Use AI speech enhancement

• Use Enhance Speech to improve intelligibility and reduce residual room noise.
• Adobe says Enhance Speech v2 can remove background noise and reverb while retaining more natural-sounding dialogue. Adobe Podcast
• Mix the speakers independently

• EQ each voice separately.
• Compress lightly.
• Automate/duck the inactive speaker's track when the other person talks if there is significant mic bleed.
• Keep some natural room tone so the conversation doesn't sound unnaturally isolated.

If you want the easiest workflow

Adobe Podcast Enhance Speech is my first thing I'd test. It accepts video directly and supports separate control of speech/background; its newer source-separation workflow can also provide individual stems for speech, background noise, and music. Adobe Podcast Adobe Podcast

If you need maximum control

Use iZotope RX + your DAW/NLE instead. I'd choose that when the interview has severe mic bleed, inconsistent room acoustics, clipping, or very aggressive cleanup requirements. It's more hands-on but gives you much finer control than a one-click enhancer.

Bottom line: For a typical two-person interview shot in a reflective room, I'd start with speaker-isolated tracks → light dereverb → Enhance Speech → manual level/bleed control → final EQ/compression. That should give you a much more natural result than simply throwing a noise-removal filter over the finished stereo mix.

For multi-speaker interview videos where the voices are mixed together and the room is reverberant, my first choice would be iZotope RX 12 Standard or Advanced.

Recommended workflow

1. Separate the speakers first

• Use RX's Multiple Speaker Detection to identify different voices and apply processing per speaker. iZotope
• If both speakers are baked into one stereo/mono recording, don't expect perfect individual vocal stems—the separation is strongest when the microphones provide some spatial or track separation.
• Run Dialogue Isolate

• RX 12's neural Dialogue Isolate is specifically designed to distinguish dialogue from background noise and room reflections. iZotope iZotope
• Keep the separation relatively conservative. Aggressive settings can produce watery/robotic artifacts.
• Apply De-reverb

• RX's De-reverb reduces the acoustic tail of the room while retaining the direct voice. iZotope
• For interviews, I'd generally remove some room rather than trying to make the recording completely anechoic. A little natural ambience sounds much more believable.
• Level each speaker independently

• After separation, EQ and compress each voice separately.
• Match their loudness and tonal character before putting them back together.
• Finish with light noise cleanup and loudness normalization

• De-hum, de-rustle, de-click, etc. only where necessary. RX includes these specialized repair tools. iZotope

Which version?

izotope.com

Adobe Podcast Enhance Speech is an excellent quick alternative—it can reduce noise, reverb, chatter, and other background sounds and supports video files. Adobe Podcast But I would choose RX when speaker-by-speaker control matters.

podcast.adobe.com

Auphonic is another good automated option; its current processing supports speech isolation and reverb reduction, including multitrack workflows. us.auphonic.com

auphonic.com

My practical recommendation

If this is for professional interview/video production, I'd use:

Speaker/track separation → RX Dialogue Isolate → De-reverb → individual EQ/compression → mix

If you tell me how the interview was recorded (one camera mic, two lavs, shotgun + lav, Zoom/Teams, etc.) and whether the speakers are currently on separate tracks or one mixed file, I can recommend the exact workflow and settings.

For multi-speaker interview video, I’d recommend a speaker-by-speaker cleanup workflow rather than a one-click “enhance” pass. The key is separating each person’s mic first, then doing de-reverb/noise reduction independently.

My top recommendation: iZotope RX 12

iZotope RX 12 Standard is the best overall choice if you want high-quality, natural-sounding dialogue.

• Dialogue Isolate separates speech from room/background noise using neural processing.
• De-reverb specifically reduces the acoustic space captured in the recording.
• De-bleed is useful when Speaker A's microphone contains spill from Speaker B.
• It works locally rather than requiring you to upload sensitive interview footage. iZotope iZotope
• RX 12's current Dialogue Isolate is available in Standard as well as Advanced. iZotope

Workflow I'd use

Speaker A mic → De-bleed → Dialogue Isolate → De-reverb → EQ/level

Speaker B mic → De-bleed → Dialogue Isolate → De-reverb → EQ/level

Then mix the two cleaned tracks back together.

Don't aggressively process both mics simultaneously. If Speaker A is talking, you can also duck Speaker B's track by ~6–12 dB, which dramatically reduces the perception of cross-talk and room wash.

If you're already editing in DaVinci Resolve

Blackmagic Design DaVinci Resolve Studio is probably the best all-in-one solution.

Its Dialogue Separator uses the DaVinci Neural Engine to give you independent controls for Voice, Background, and Ambience, with ambience specifically representing reverberant/room sound. Blackmagic Design Documents

That makes it particularly attractive for interviews because you can do:

1. Separate/route each speaker's microphone.
2. Use Dialogue Separator to pull the voice forward.
3. Reduce Ambience to tame the room.
4. Use Voice Isolation only as needed.
5. Use Dialogue Leveler to even out speakers with different mic distances/levels.

Resolve's Voice Isolation can also reduce room sound, echoes and reverb, although pushing it too hard can create an artificial/processed voice. Blackmagic Design Forum

A simpler, cheaper option: Supertone Clear

Supertone Clear is my pick if you want something much easier than RX.

It has three particularly useful controls:

• Voice
• Ambience
• Voice Reverb

It's a real-time plugin for Windows/Mac and works as AU/VST/VST3/AAX, so it can fit directly into most video/audio workflows. Supertone

For a typical two-person interview, this could be enough without building a complicated restoration chain.

One important caveat

If by "separates voices" you mean you have one stereo/mono recording containing both people and want the software to produce Speaker A and Speaker B as two completely independent tracks, that's substantially harder.

Most dialogue-enhancement systems are primarily voice-vs-background separators, not perfect person-A-vs-person-B separators. Adobe, for example, has historically noted that Enhance Speech isn't multitrack-aware and tends to identify the dominant voice rather than explicitly understanding "Speaker A" and "Speaker B." Adobe

So if you have separate lav tracks, you're in a much better situation.

What I'd buy

For your specific use case, I'd choose RX 12 Standard if audio quality matters most, or Resolve Studio if you want everything inside the video editor. Recent testing also puts RX on the more natural/fidelity-oriented end of the spectrum, while aggressive AI enhancers tend to produce more obvious "processed" voices. The Post Flow

If you tell me what you recorded with (2 lavs, boom, camera mic, or one mixed track) and what editor you use (Premiere, Resolve, Final Cut, etc.), I can give you an exact cleanup chain and starting settings.

For multi-speaker interview videos, I’d recommend a two-stage workflow rather than a single “magic” cleanup tool:

1. Separate speakers first (so each voice can be processed independently).
2. Apply dereverb, denoise, EQ, and leveling per speaker track.

This gives much better results than trying to remove room echo from a mixed interview track.

Recommended solutions

Best overall: AI speaker separation + professional finishing

Workflow

• Upload the interview audio/video.
• Split into individual speaker stems.
• Clean each speaker separately: - reduce room reverb
• remove HVAC/background noise
• match loudness
• add EQ/compression
• Export back to your video editor.

Good options:

• Adobe workflow: use AI speech enhancement and then finish in Adobe Premiere Pro or Adobe Audition. Best if you already edit professionally.
• developer.audioshake.ai — designed for isolating individual speakers from mixed recordings, including overlapping voices. AudioShake Developers
• splitbyspeakers.com — focused specifically on interview-style recordings where you need separate interviewer/interviewee tracks. SplitBySpeakers
• audiopod.ai — separates speakers and can provide speaker timelines, useful for interviews and podcasts. AudioPod AI

Easiest “upload video → cleaned result” option

If you don’t want an audio engineering workflow:

• vibi.fm — separates voice/background and per-speaker stems from video clips, aimed at keeping the video while fixing problematic audio. VIBI
• cleanvideoaudio.com — simpler speech cleanup for interviews with uneven levels, noise, or mild echo. CleanVideoAudio

Best local/pro editor stack

For documentary, journalism, or paid client work:

1. Speaker separation: - AudioShake / SplitBySpeakers / similar AI separation
2. Cleanup: - AI dereverb
3. spectral denoise
4. EQ
5. compressor
6. Mix: - loudness target around -16 LUFS stereo (web/video)
7. limit peaks around -1 dBTP

My pick by use case

Important limitation

AI dereverb works best when the room echo is moderate. If the recording has:

• heavy bathroom-like reflections,
• clipping,
• voices talking over each other,
• a distant microphone,

the goal should be making it intelligible, not trying to make it sound like a studio recording.

For most interview videos, I’d choose speaker separation → per-speaker dereverb → manual level match as the highest-quality approach. AudioShake Developers SplitBySpeakers

For most interview videos, I’d choose speaker separation → per-speaker dereverb → manual level match as the highest-quality approach. AudioShake Developers SplitBySpeakers

For multi-speaker interview videos where you need both speaker separation and room-reverb reduction, my first choice would be iZotope RX 12, rather than a one-click speech enhancer.

izotope.com

Recommended workflow

1. Separate speakers first.

RX has Multiple Speaker Detection, which can automatically distinguish voices so you can process each person's dialogue independently. iZotope

2. Run Dialogue Isolate.

This separates speech from background noise and room reflections. RX's newer Dialogue Isolate processing also incorporates de-reverb. iZotope iZotope

3. Apply Dialogue De-reverb gently.

This is particularly useful for interviews recorded in untreated rooms. Avoid trying to remove 100% of the room sound—aggressive settings can produce metallic/processed voices. iZotope specifically recommends a lighter touch and, when necessary, multiple passes. iZotope iZotope

4. Process each speaker separately.

Once voices are detected, you can give Speaker A and Speaker B slightly different EQ, noise reduction, compression, and level settings. This is a major advantage over simply running an AI enhancer on the whole mixed track.

5. Finish with leveling/compression.

Bring the speakers to a consistent perceived loudness, then add a small amount of room tone underneath edits so the result doesn't sound unnaturally dead.

If you want something much easier

Adobe Podcast Enhance Speech v2 is the better "upload it and make it sound good" option. It explicitly supports video, interviews, noise removal and reverb reduction, and is dramatically simpler than RX. Adobe Podcast

podcast.adobe.com

The tradeoff is control: for a two-person interview recorded on separate lavs/booms, RX gives you much more ability to treat each speaker independently. Adobe is excellent when you have a single mixed recording and primarily want intelligibility quickly.

My pick:

• Professional / recurring video production: RX 12
• Fastest/easiest cleanup: Adobe Enhance Speech
• Best possible result: separate mic tracks → RX speaker detection/cleanup → individual EQ/compression → final mix

If you tell me how your interview was recorded (e.g. two lavs, one camera mic, two-track recorder, Zoom/Teams, etc.), I can recommend a specific signal chain and settings.

For multi-speaker interview video where you want both voice separation and room-reverb reduction, my top recommendation is iZotope RX 12, particularly RX 12 Standard or Advanced.

Best overall: iZotope RX 12

RX is better suited than simple one-click enhancers when the recording needs surgical cleanup. Its current workflow includes:

• Dialogue Isolate — separates speech from competing background sound.
• Dialogue De-reverb — specifically reduces room reflections/reverb from dialogue.
• Stems View / Scene Rebalance — useful when you're starting with a mixed recording and need to manipulate dialogue separately from other elements.
• De-rustle, De-wind, De-hum, De-click, De-plosive, etc., for the usual interview problems. iZotope iZotope

izotope.com

The workflow I'd use:

Original interview → separate/isolate dialogue → Dialogue De-reverb → noise cleanup → EQ/leveling → back to video editor

For two people recorded on separate lavs/boom tracks, I'd keep each speaker on their own track and process them independently. That's considerably better than trying to separate two voices that are already baked into one stereo mix.

Easiest option: Adobe Podcast Enhance Speech

If you want fast results with minimal audio expertise, podcast.adobe.com is probably the easiest solution. Its current version can reduce noise and reverb, and Adobe has added source separation and multitrack workflows for interviews. Adobe Podcast Adobe Podcast

It's particularly attractive if you're already editing in Premiere. Adobe is also currently testing Enhance Audio directly in Premiere, with separate controls for dialogue enhancement and reverb. Adobe

Another good AI option: ElevenLabs Voice Isolator

elevenlabs.io is worth trying if the main problem is voices buried under background chatter/noise. It uses AI speech separation and explicitly targets interview/post-production use, including reverb and overlapping background conversations. ElevenLabs ElevenLabs

What I'd choose

One important caveat: if by “separates voices” you mean take a single mixed recording containing Speaker A and Speaker B and produce two clean, independently editable speaker tracks, that's a more specialized problem than ordinary dialogue cleanup. RX's current separation tools can help, but I'd choose the workflow differently depending on whether you have one mixed file or separate microphone tracks.

If you tell me what your source audio looks like (one stereo mix vs. separate lav/boom tracks), your video editor (Premiere, Resolve, Final Cut, etc.), and whether the room reverb is mild or severe, I can recommend a specific workflow and settings.

For multi-speaker interview videos with room reverb, my first choice would be izotope.com, especially RX 12 Standard.

Recommended workflow

1. Separate the speakers first

• RX has Multiple Speaker Detection, which can distinguish different voices and let you apply different processing to each person. iZotope
• This is particularly useful when one speaker is naturally louder, farther from the mic, or more reverberant than another.
• Run Dialogue Isolate

• RX's current Dialogue Isolate uses neural processing to pull speech away from background noise and room reflections. iZotope iZotope
• Don't max it out—moderate processing usually sounds much more natural.
• Use De-reverb separately if needed

• RX's De-reverb is specifically designed to reduce the acoustic space captured by the microphone. iZotope
• For a badly reflective room, I'd use a little De-reverb followed by gentle Dialogue Isolate rather than trying to make the voice completely "dry."
• Normalize each speaker

• After cleanup, match the speakers' perceived loudness and EQ. This prevents the conversation from sounding like one person is three feet from the microphone while the other is across the room.

If you want something much easier

Adobe Enhance Speech v2 is the best low-effort alternative. It accepts video files and is specifically designed for interviews, with AI removal of background noise, chatter and reverb. Adobe Podcast

podcast.adobe.com

I'd choose it if you want "upload → enhance → download" rather than doing detailed audio post.

My ranking

Bottom line: If this is recurring interview production, get RX 12 Standard. If you have dozens of videos and want minimal manual work, start with Adobe Enhance Speech v2.

One important caveat: if both speakers are recorded into the same mono microphone track and talk over each other, no current tool can reliably turn that into two pristine independent voices. If you have separate lav/boom tracks, the cleanup becomes dramatically better.

For interview videos with multiple speakers on one mixed recording, the best results usually come from a two-stage workflow:

1. Separate speakers into individual tracks
2. Clean each voice track (denoise + de-reverb + EQ/compression)

A strong practical solution depends on whether you want a professional post workflow or a fast creator workflow.

Recommended workflow (best overall)

1. Speaker separation: AudioShake Multi-Speaker Separation

Best when:

• Two or more people overlap/talk over each other
• You only have a single camera mic or mixed audio track
• You need separate guest/interviewer stems

It can split a mixed recording into individual speaker stems and is designed for cases like interviews, podcasts, and overlapping dialogue. AudioShake AudioShake Developers

Workflow:

• Import your interview audio/video
• Run multi-speaker separation
• Export: - Interviewer track
• Guest 1 track
• Guest 2 track (if applicable)
• Process each stem separately

2. De-reverb and voice cleanup

After separation, run each speaker stem through a dialogue restoration tool:

Fast, editor-friendly options

• Supertone Clear

Good for reducing room echo, noise, and improving speech clarity with simple controls. It works as a DAW plugin, making it convenient inside editing workflows. Supertone

• Waves Audio Clarity Vx

Useful for dialogue cleanup, especially when you have steady background noise, room tone, or unwanted ambience. GitHub

• iZotope RX

A common professional post-production choice for:

• Dialogue isolation
• De-reverb
• Mouth clicks
• HVAC noise
• Spectral repair

If you want an all-in-one AI approach

For a simpler workflow:

• Upload the interview
• Separate speakers
• Apply enhancement
• Export cleaned stems

Tools such as AudioPod AI also offer speaker splitting with per-speaker tracks and timelines, aimed at interviews and podcasts. AudioPod AI

My recommended production chain

For a documentary/interview workflow:

Original video → AudioShake speaker separation → RX/Supertone cleanup → DAW mix → Video editor

Then for each speaker:

• High-pass filter: ~70–100 Hz
• Reduce muddy range: ~200–500 Hz if needed
• Gentle presence boost: ~2–5 kHz
• Light compression: 2–4 dB gain reduction
• Limiter to final loudness target

What to avoid

• Applying heavy noise reduction before separation — it can make AI separation less accurate.
• Using only “voice isolation” tools — they often remove noise but do not create independent speaker tracks.
• Over-de-reverberating — aggressive settings can create metallic/underwater artifacts.

If you tell me your setup (single camera mic vs lavs, number of speakers, Mac/Windows, and editor—Premiere, Resolve, Final Cut, etc.), I can suggest a more specific toolchain.

For interview videos with multiple speakers on one mixed recording, the best results usually come from a two-stage workflow:

1. Separate speakers into individual tracks
2. Apply voice enhancement + dereverb + final mix

A good solution depends on whether you need a professional post-production workflow or a fast creator workflow.

Recommended workflow

Option 1 — Best overall for interviews: AI speaker separation + audio finishing

Step 1: Separate voices
Use a tool designed for multi-speaker separation, not just noise removal. These tools can create individual speaker stems so you can adjust the interviewer and guest independently.

• AudioShake — strong option for production workflows; its multi-speaker separation is designed to split overlapping voices into separate stems. AudioShake
• SplitBySpeakers — aimed specifically at interview cleanup, producing separate speaker tracks from mixed recordings. SplitBySpeakers

Step 2: Clean each speaker track
After separation:

• Run dereverb to reduce room reflections
• Apply gentle noise reduction
• Use EQ: - High-pass filter around 70–100 Hz to remove rumble
• Reduce muddiness around 200–400 Hz if the room sounds boxy
• Add presence around 2–5 kHz for intelligibility
• Compress lightly to even out distance changes

Step 3: Mix

• Put each speaker on its own track
• Automate levels so the guest stays consistent
• Add a small amount of room tone back if the AI cleanup sounds too sterile

Option 2 — Fastest creator workflow

If you edit in video software and want fewer steps:

• VIBI — separates video audio into voice/background/per-speaker stems and is designed for editing directly from clips. VIBI
• Riverside — useful if interviews are recorded there or uploaded for speaker-based editing workflows. Riverside

Option 3 — If the main problem is echo/reverb

If voices are already separated (or there is only one speaker), use a dereverb-focused tool:

• Dereverb — focused specifically on reducing room echo in voice recordings and video clips. Dereverb

My recommended stack for documentary/interview work

High-quality workflow:

1. Original video → extract WAV
2. Speaker separation → individual WAV stems
3. Dereverb/noise cleanup per speaker
4. EQ + compression
5. Replace cleaned audio in Premiere Pro / Final Cut / DaVinci Resolve

For most interview creators:
A practical combination would be AudioShake or SplitBySpeakers for separation + your NLE’s audio tools for finishing. AudioShake SplitBySpeakers

A few questions would change the recommendation:

• Are your interviews single-camera with one mixed microphone, lav mics, or Zoom/remote recordings?
• How many speakers (2, panel, audience)?
• Are you editing in Premiere Pro, DaVinci Resolve, Final Cut, or something else?

For multi-speaker interview videos where you want both voice separation and room-reverb reduction, my first choice is iZotope RX 12.

Recommended workflow: iZotope RX 12

izotope.com is particularly well suited because it addresses the two problems separately:

• Multiple Speaker Detection can distinguish different voices so you can apply different processing to each speaker. iZotope
• Dialogue Isolate uses neural processing to pull speech forward while suppressing competing noise and reverb. iZotope
• De-reverb specifically reduces the acoustic signature of the room. iZotope
• EQ Match is useful when, for example, one interviewee is on a lav and the other is on a boom, helping make the voices sound more consistent. iZotope

I'd process it roughly like this:

Original interview → speaker detection/editing → De-reverb → Dialogue Isolate → EQ/level matching → light compression → final mix

The important point is not to aggressively isolate the voices in one pass. Heavy AI separation can produce watery/robotic artifacts. A couple of moderate passes usually sound much more natural.

If you want something simpler

DaVinci Resolve Studio is a compelling all-in-one alternative. Its Fairlight audio tools include Dialogue Separator, which provides independent control over dialogue, background, and ambience/reverberant room sound. Blackmagic Design Documents App Store

That makes it especially attractive if you're already editing the interviews in Resolve—you can clean and mix the dialogue without round-tripping to another application.

If you want one-click cleanup

podcast.adobe.com is the easiest option. Adobe says its current Enhance Speech can remove noise, chatter, and reverb and is designed for interviews and video. Adobe Podcast

I'd choose it when speed matters more than surgical control. For a difficult two-person interview with noticeably different microphones or substantial room reflections, RX gives you much more control.

My ranking:

1. 🥇 iZotope RX 12 — best for serious/problematic interview audio
2. 🥈 DaVinci Resolve Studio — best if you're already editing in Resolve
3. 🥉 Adobe Podcast Enhance Speech — fastest/easiest

If you tell me how the interview was recorded (one stereo camera mic, two lavs, separate recorder, Zoom/remote, etc.), I can recommend the exact processing chain and settings.

If you want something simpler

DaVinci Resolve Studio is a compelling all-in-one alternative. Its Fairlight audio tools include Dialogue Separator, which provides independent control over dialogue, background, and ambience/reverberant room sound. Blackmagic Design Documents App Store

That makes it especially attractive if you're already editing the interviews in Resolve—you can clean and mix the dialogue without round-tripping to another application.

If you want one-click cleanup

podcast.adobe.com is the easiest option. Adobe says its current Enhance Speech can remove noise, chatter, and reverb and is designed for interviews and video. podcast.adobe.com

I'd choose it when speed matters more than surgical control. For a difficult two-person interview with noticeably different microphones or substantial room reflections, RX gives you much more control.

My ranking:

For multi-speaker interview video where the voices are mixed together and the room is reverberant, my first choice would be iZotope RX 12 Advanced.

izotope.com

Why RX 12 Advanced

• Speaker separation: RX has Multiple Speaker Detection, which can distinguish different voices so you can process each speaker separately. iZotope
• Room-reverb reduction: Dialogue Isolate is specifically designed to separate dialogue from background noise and reflections, while its de-reverb processing reduces room sound. iZotope iZotope
• Mixed audio: RX 12's Stems View / Scene Rebalance can separate dialogue from other material when everything has already been printed into a stereo mix. iZotope iZotope
• Interview-specific cleanup: You can then use De-click, De-hum, De-rustle, De-wind, EQ, etc., without having to process the entire mix indiscriminately. iZotope

Recommended workflow

Video → extract/duplicate production audio → speaker separation → de-reverb → noise cleanup → level speakers → return to video editor

For each speaker, I'd roughly do:

1. Separate/identify speakers and put each voice on its own track.
2. Run Dialogue Isolate gently to improve voice-to-room ratio.
3. Apply Dialogue De-reverb conservatively. Don't try to make the room completely disappear; excessive reduction can make voices metallic or phasey. iZotope itself recommends incremental processing to avoid artifacts. iZotope
4. Clean specific problems with De-hum, De-rustle, De-wind, De-click, etc.
5. EQ and compress each speaker independently so the interviewer and subject sound consistent.
6. Add a small amount of matching room tone underneath pauses so the result doesn't sound unnaturally "dead."
7. Export the cleaned dialogue tracks back into Premiere Pro, Resolve, Final Cut, etc.

If you want something simpler

If you're already editing in Premiere Pro, Adobe's Enhance Speech is worth trying for a fast first pass, particularly when the goal is "make this interview intelligible" rather than surgical restoration. Adobe designed it specifically for difficult real-world recordings containing things like noise, reverb, and multiple speakers. Adobe Blog

My recommendation:
RX 12 Advanced for the best control and difficult multi-speaker/reverb recordings; Premiere's Enhance Speech for speed and simplicity.

If you tell me how the interview was recorded (e.g. two lavs, one camera mic, Zoom/phone, or a single stereo mix), I can recommend the exact workflow and settings.

For multi-speaker interview videos where the voices are mixed together and the room is reverberant, my strongest recommendation is iZotope RX 12.

Best overall: iZotope RX 12

izotope.com

RX is particularly well suited because it attacks both problems you mentioned:

• Separate/manage speakers: RX's Multiple Speaker Detection can identify different voices so you can apply processing independently to each person. iZotope
• Reduce room reverb: Dialogue Isolate uses neural processing to separate dialogue from noise and room reflections, while Dialogue De-reverb specifically targets reverberation. iZotope iZotope
• More aggressive separation: RX 12's Stems View can split mixed audio into dialogue, noise, and reflections, giving you separate material to process. iZotope
• Interview-specific cleanup: It also has tools for hum, clicks, clipping, clothing rustle, etc., which are common in production/interview audio. iZotope

A workflow I'd use

Original mixed interview → speaker separation → de-reverb → noise cleanup → level each speaker → final mix

For example:

1. Split/identify the speakers so Speaker A and Speaker B can be treated independently.
2. Apply Dialogue Isolate gently to each voice.
3. Use Dialogue De-reverb to pull the room down further.
4. Reduce remaining HVAC/hiss/background noise.
5. EQ and compress each speaker separately.
6. Match their loudness and tone.
7. Add back a small amount of natural room ambience if the result becomes unnaturally "dead."

The important part is not to max out the AI processing. iZotope specifically recommends subtle, incremental de-reverb because excessive processing can introduce artifacts. iZotope iZotope

If you want something much simpler

Supertone Clear is an excellent lightweight alternative. It combines voice separation, de-noising and de-reverberation into a very simple plugin with controls for voice, ambience and voice reverb. Supertone

supertone.ai

I'd choose:

• RX 12 → best when you need serious post-production control, especially difficult interview recordings.
• Supertone Clear → best when you want fast, simple cleanup without becoming an audio-restoration specialist.
• Adobe Enhance Speech → good for quick one-click enhancement, but I'd favor RX when speaker separation + room-reverb reduction are central requirements.

If you tell me what your source audio looks like (e.g. two lavs, one camera mic, Zoom/Teams recording, stereo mix, etc.), I can recommend the exact workflow and settings I'd start with.

For interview videos with multiple speakers, voice separation, and room reverb reduction, I’d use a two-stage workflow rather than relying on a single “clean audio” button:

1. Separate speakers / isolate dialogue
2. De-reverb and polish each voice track
3. Mix back into the video

The best solution depends on your editing environment:

Best overall (professional interview post): iZotope RX + your NLE

iZotope RX is usually the strongest choice when the recording is valuable (documentaries, client interviews, podcasts, journalism).

Workflow:

• Import the mixed interview audio into RX.
• Use: - Dialogue Isolate → pull voices forward from background noise
• De-reverb → reduce room reflections
• Spectral Repair → remove specific problems (HVAC, clicks, bumps)
• Export cleaned dialogue stems back to Premiere Pro, DaVinci Resolve, Final Cut, etc.

Pros:

• Best control over difficult recordings
• Handles uneven rooms and noisy locations well
• Good for broadcast-quality work

Cons:

• More expensive
• Requires learning the tools

Fastest creator workflow: AI speech enhancement tools

For YouTube interviews, corporate videos, and podcasts, a faster approach is:

• Run the audio through an AI speech enhancer first.
• Then do final EQ/compression in your editor.

Tools in this category can remove noise, improve speech clarity, and reduce some room coloration. For example, Adobe’s speech enhancement workflow is designed for quick dialogue cleanup, while other AI tools focus on speaker separation or reverb reduction. MixingGPT

If you need actual speaker separation

If your recording has:

• two people on one microphone,
• a camera scratch track,
• a Zoom/remote interview mix,
• overlapping speakers,

look for multi-speaker separation, not just noise reduction.

Tools that offer speaker splitting can create separate tracks for each person rather than only “voice vs background.” Perso AI

A practical workflow:

1. Input: mixed interview audio
2. AI separation: - Speaker 1
3. Speaker 2
4. Background/ambience
5. Apply different cleanup settings per speaker: - Guest with echo → stronger de-reverb
6. Host with lav mic → lighter processing
7. Normalize loudness
8. Export final mix

Good in-editor options

If you want everything inside your video editor:

• DaVinci Resolve Studio

• Strong Fairlight audio tools
• Voice isolation and dialogue processing
• Good choice if you already edit there
• Adobe Premiere Pro

• Convenient if you live in Creative Cloud
• Good dialogue cleanup workflow
• Final Cut Pro

• Fast for Mac-based interview editing

Modern video editors increasingly include dialogue cleanup features directly in the timeline. Wondershare Filmora

My recommended setups

For professional documentary/interview work

iZotope RX → DaVinci Resolve/Premiere

• Maximum repair ability
• Best for imperfect location recordings

For weekly YouTube interviews

AI speaker separation → Premiere/Resolve cleanup

• Fast turnaround
• Minimal manual audio work

For remote interviews (Zoom, Teams, Riverside-style recordings)

Separate speakers first → clean each track individually

• Avoids trying to force one cleanup setting onto everyone

Processing order matters

Use this order:

1. Speaker separation
2. De-reverb
3. Noise reduction
4. EQ
5. Compression
6. Loudness matching

If you denoise first and separate later, artifacts can become more noticeable.

If you tell me:

• your editor (Premiere, Resolve, Final Cut, etc.),
• number of speakers,
• whether you have separate mic tracks or only the camera mix,
• and whether this is a one-off or a recurring workflow,

I can suggest a more specific setup.

For multi-speaker interview video, I’d recommend an AI-first cleanup workflow with speaker separation, followed by targeted de-reverb rather than trying to solve everything with conventional noise reduction.

My top recommendation: iZotope RX 11

izotope.com is the strongest choice if audio quality matters and you want control.

Its Dialogue Isolate module can separate dialogue from background material and now includes Dialogue De-reverb; RX also has dedicated De-reverb, De-noise, De-rustle, De-ess, and other repair tools. iZotope iZotope

A good workflow would be:

1. Split/identify each speaker if you have isolated lav/boom tracks.
2. Run Dialogue Isolate fairly gently on each dialogue track.
3. Use Dialogue De-reverb/De-reverb to reduce the room sound.
4. Repair specific problems—clothing rustle, hum, clicks, clipping, etc.
5. EQ and compress the speakers so their voices have a consistent tonal character.
6. Automate levels between speakers rather than aggressively processing the whole mix.

Why I prefer RX: it gives you a way to distinguish "remove the room" from "make this voice sound better." That's particularly valuable with interviews, where overly aggressive AI processing can make two people sound unnaturally similar.

If you want the easiest solution: Descript Studio Sound

descript.com is probably the best one-click option.

Descript says Studio Sound isolates speakers and regenerates/enhances the speech while reducing background noise and room echo/reverb. Descript Descript It also works directly with video, making it convenient if you're already editing the interview there.

One caveat: don't automatically run it at 100%. Descript itself recommends reducing the intensity when voices start sounding over-processed; their current guidance notes that 40–50% can often be a useful range. Descript

Another very easy option: Adobe Podcast Enhance Speech

podcast.adobe.com is excellent for quick cleanup. Its current Enhance Speech v2 specifically targets background noise, reverb and difficult recording conditions, with controls for speech and background levels. Adobe Podcast Adobe Podcast

I'd use it when the source is something like:

• Camera mic + room echo
• Zoom/remote interview
• Phone recording
• Lav with moderate environmental noise
• A video where you don't want to spend hours repairing audio

It's less appropriate when you need surgical control over individual speakers.

What I'd choose for your situation

A particularly good hybrid workflow

For a serious interview, I'd do:

Original video → speaker separation → Descript/Adobe for a light first pass → RX 11 for de-reverb and problem repair → EQ/compression → final mix

The important part is not to over-process the entire mixed recording. If two people are talking over each other in the same microphone, no current tool can perfectly reconstruct two clean, independent studio tracks in every situation. If you can get separate lav/boom tracks for each speaker, the results improve dramatically.

If you tell me what your source audio looks like (e.g. one camera mic with 2 people, two lavs, 4-person roundtable, Zoom + camera, etc.) and what you edit in (Premiere, DaVinci Resolve, Final Cut, or something else), I can give you a specific processing chain and settings.

For multi-speaker interview videos where you want both voice separation and room-reverb reduction, my first choice would be izotope.com, particularly RX 11 Standard/Advanced.

Best overall: iZotope RX 11

RX is a better fit than a simple one-click speech enhancer because you can treat each speaker independently and then deal with the room sound.

A practical workflow is:

1. Split the interview into individual speaker tracks if you have isolated lav/boom recordings.
2. Use Dialogue Isolate to separate speech from background noise. RX's machine-learning processing specifically identifies dialogue and separates it from unwanted material. iZotope iZotope Downloads
3. Use Dialogue De-reverb on each speaker. It is designed to distinguish reverberant components from dialogue, allowing you to reduce the room sound without simply EQing the voice. iZotope Amazon Web Services, Inc.
4. Do light EQ/compression afterward and blend the speakers back together.
5. If the two microphones sound different, Dialogue Match/Ambience Match can help make the edited interview feel acoustically consistent. iZotope

Why I'd pick RX: it gives you considerably more control when Speaker A has one acoustic environment, Speaker B has another, and both have room reflections. You can process the speakers separately rather than applying the same aggressive AI treatment to the entire mix.

Easier/cheaper option: Adobe Enhance Speech

If you want something nearly automatic, podcast.adobe.com is worth trying. It accepts video files and is designed to remove background noise and reverb while improving speech clarity. Adobe Podcast Adobe Podcast

It's excellent for "this interview sounds bad; make it usable", but I'd favor RX when you need to preserve natural-sounding voices and exercise control over multiple speakers.

If you're already editing in Premiere

adobe.com has Enhance Speech built in, with a Mix Amount control so you can blend the processed and original signal. Adobe Help Center That's probably the lowest-friction solution if your interviews are already in Premiere.

My recommendation by situation

One important caveat: voice separation and speaker separation aren't quite the same thing. If you have a single microphone recording containing two people talking over each other, isolating Speaker A and Speaker B cleanly is much harder than cleaning two individually recorded lav tracks. If you tell me how the interview was recorded (e.g. two lavs, one camera mic, stereo recorder, Zoom/Teams, etc.) and what editor you're using, I can recommend the exact workflow and settings.

For multi-speaker interview video, my strongest recommendation is iZotope RX 12 as the cleanup layer, with your normal video editor (Premiere, Resolve, Final Cut, etc.) handling the picture and final mix.

Why RX 12 fits this job

• Speaker separation: RX's Multiple Speaker Detection can distinguish different voices so you can apply processing per person. www.izotope.com
• Room-reverb reduction: Dialogue Isolate specifically targets voice against noise and room reflections, while Dialogue De-reverb gives you additional control. www.izotope.comwww.izotope.com
• More aggressive separation: RX 12's Stem Split / Stems View can separate components of a mixed recording, which is particularly useful when the interviewer and guest were captured into the same track. www.izotope.com
• Detailed repair: You still have tools for hum, clicks, plosives, rustle, clipping, etc., rather than relying on a single "enhance" button. www.izotope.comwww.izotope.com

Recommended workflow

If you have separate lav/mic tracks:

1. Keep each speaker on their own track.
2. Use RX Dialogue Isolate lightly on each.
3. Apply Dialogue De-reverb if the room is obvious.
4. Use Multiple Speaker Detection where needed to identify/segment speakers.
5. Manually duck the other person's mic during each speaker's pauses.
6. Match EQ and loudness between speakers.
7. Mix the cleaned tracks back into your video.

If everyone is baked into one camera/mix track:
Use RX 12 Stem Split/Scene Rebalance → isolate the dialogue → Dialogue Isolate → De-reverb. This is considerably more appropriate than simply running a one-click speech enhancer over the entire mix. www.izotope.com

What about Adobe Enhance Speech?

Adobe Podcast Enhance Speech is an excellent quick/cheap first pass. Its current version supports video and explicitly targets reverb, background noise, and speech clarity. podcast.adobe.com

However, I wouldn't make it the primary solution for a serious multi-speaker interview. It isn't designed around independent speaker tracks, and Adobe's own community discussion notes that Enhance Speech analyzes the audio as a whole rather than being multitrack-aware. community.adobe.com

Bottom line:
Best quality/control → RX 12
Fastest/simple cleanup → Adobe Enhance Speech
Best overall video workflow → separate each speaker's mic + RX 12 cleanup + your NLE for mixing

One important caveat: reverb removal works best when applied gently. Heavy processing can create metallic/phasey artifacts; iZotope itself recommends incremental reduction rather than maxing out the de-reverb. www.izotope.com

If you tell me whether your interviews are (A) separate lav tracks, (B) two mics mixed to one track, or (C) camera audio with both people in the same recording, I can recommend the exact processing chain and settings.

For multi-speaker interview video, I’d recommend iZotope RX 12 Standard or Advanced as the primary cleanup solution.

izotope.com

Why RX fits this use case

• Dialogue Isolate uses neural processing to pull spoken dialogue forward from background noise, including difficult, variable noise. RX 12 has an upgraded version designed specifically for speech cleanup. iZotope iZotope
• De-reverb specifically reduces the room sound/echo captured in an untreated interview location. iZotope
• Stems View can help you work with separated dialogue and other components rather than treating the entire mix as one undifferentiated waveform. iZotope
• You also get tools for hum, clicks, plosives, lav rustle, wind and other production problems, which are common in documentary/interview recordings. iZotope

The workflow I'd use

For each speaker/mic track:

1. Separate the speakers/mics first if you have individual lav or boom recordings. Don't try to process a mixed two-person track as if it were two independent voices.
2. Run Dialogue Isolate conservatively to improve speech-to-background ratio.
3. Apply De-reverb to reduce the room reflections.
4. Clean specific problems with De-rustle, De-click, De-plosive, De-hum, etc.
5. Match EQ and loudness between speakers.
6. Mix the cleaned voices back against a little original room tone so the result doesn't sound unnaturally dry or "AI processed."

For particularly reverberant material, I'd favor RX Advanced because its Dialogue Isolate has a higher-quality offline mode and multiband processing. iZotope

One important caveat

If by "separates voices" you mean you have one stereo recording containing two people talking over each other and want independent Speaker A and Speaker B stems, that's a harder problem than ordinary dialogue isolation. RX is excellent at dialogue-vs-noise/reverb, but I wouldn't expect it to perfectly unmix overlapping speakers.

If you tell me what your source looks like (two lav tracks, one boom track, camera mix, or two people on one mic), I can recommend the most effective specific workflow and software combination.

For multi-speaker interview videos, I’d recommend iZotope RX 12 + your normal video editor/DAW as the most controllable solution.

My top recommendation: iZotope RX 12

iZotope’s RX 12 is particularly well suited when you need to do more than generic “make this voice clearer” processing. Its current Dialogue Isolate uses neural processing to separate dialogue from noise and room reflections, while RX also provides dedicated De-reverb, de-noise, de-click, and spectral-repair tools. www.izotope.com

For an interview, I’d use this workflow:

1. Keep each microphone/speaker on its own track if you have isolated lav/boom recordings.
2. Reduce cross-talk on each track—duck or attenuate the other person's mic when they're speaking.
3. Run Dialogue Isolate on each speaker separately.
4. Apply De-reverb conservatively rather than trying to eliminate the room completely.
5. Repair individual problems with Voice De-noise, De-click, De-hum, or Spectral Repair as needed.
6. Bring the cleaned tracks back into Premiere, Resolve, Final Cut, etc., and mix the speakers to consistent levels.

This is preferable to putting the entire interview through one AI filter because you retain control over Speaker A vs. Speaker B and can process each voice differently.

If you want something much simpler

Adobe Enhance Speech v2 is my pick for the fastest workflow. It can reduce background noise and reverb and is explicitly designed for interviews and video. podcast.adobe.com

If you're already using Adobe Premiere Pro, its Enhance Speech integration makes this particularly convenient. www.izotope.compodcast.adobe.comwww.adobe.comwww.blackmagicdesign.com

The catch: it's less surgical when two voices are bleeding into the same recording. AI enhancement can sometimes interpret a quieter off-mic speaker as part of the primary speech, so separate speaker tracks are still much better. community.adobe.com

Another excellent option: DaVinci Resolve Studio

If you're editing in Blackmagic Design DaVinci Resolve, its Dialogue Separator is compelling because it gives separate controls for Voice, Background, and Ambience/reverberant room sound. documents.blackmagicdesign.com Its Voice Isolation is also specifically intended for isolating dialogue in interviews and other noisy recordings. www.blackmagicdesign.com

So I'd choose:

One important caveat: no AI tool can perfectly reconstruct voices when they're heavily overlapped in the same microphone. If you have separate lavs or boom tracks, the results can be dramatically better because you can isolate and clean each speaker independently.

If you tell me what you have (e.g. two lavs, one shotgun, camera mic, or a single stereo recording) and what editor you use (Premiere/Resolve/Final Cut), I can give you a specific processing chain and settings.

For multi-speaker interview video where you need both speaker separation and room-reverb reduction, my top recommendation is iZotope RX 12.

Best overall: iZotope RX 12

RX 12 is better suited than a simple one-click speech enhancer because it gives you a stem-oriented cleanup workflow. Its newer Stem Split / Stems View can separate dialogue from noise and reflections, after which you can process the dialogue independently. iZotope iZotope

A practical workflow would be:

1. Split the mixed interview into stems

Use RX's Stem Split/Stems View to separate dialogue and room/reflection components.

1. Isolate the dialogue

Run Dialogue Isolate on the dialogue stem. RX 12 specifically targets background noise and room reflections. iZotope

1. Attack the room reverb separately

Use Dialogue De-reverb rather than trying to eliminate everything with noise reduction. iZotope recommends using it subtly because aggressive de-reverb can create artifacts. iZotope iZotope

1. Process each speaker independently if possible

If Speaker A and Speaker B were recorded on separate lav/boom tracks, don't mix them together first. Clean each mic separately, then use EQ, compression and level matching to make them sound like they belong in the same room.

1. Keep some room tone

Don't aim for zero reverb. A completely dry voice pasted over video can sound artificial. A little consistent ambience underneath usually produces a much more convincing result.

If you want something much simpler

Adobe Enhance Speech is my choice for a fast, mostly automatic workflow. It accepts video, removes background noise and reverb, and is explicitly designed for interviews and video. Adobe Podcast Adobe Podcast

The tradeoff is control: it's excellent for "make this interview sound better", but RX is preferable when you need "separate these components and surgically fix the room."

My recommendation by scenario

One important caveat: no current AI tool can perfectly recover two voices that are heavily overlapping in the same single microphone recording, especially when both speakers talk simultaneously. If you have separate lav tracks, the result can be dramatically better.

If you tell me what you have right now (e.g. one camera mic, two lavs, mixed stereo track, Premiere/Resolve/Final Cut), I can recommend a specific signal chain and settings for your footage.

For interview videos with two or more speakers, I’d recommend iZotope RX 12 Standard/Advanced as the cleanup engine, with your NLE handling the edit and speaker tracks.

Why it fits your problem:

• Voice/background separation: RX’s Dialogue Isolate uses machine learning to separate dialogue from unwanted background sound. www.izotope.comwww.izotope.com
• Room reverb: Its Dialogue De-reverb is specifically designed to separate reverberant components from the dialogue, letting you reduce the room sound without simply EQ-ing the whole recording. www.izotope.coms3.amazonaws.com
• Different speakers: Keep each microphone/speaker on its own track, process them separately, then mix them together. This is much more controllable than trying to make one mixed interview recording sound clean.
• Additional production problems: RX also has tools for lav rustle, clicks, hum, plosives, clipping, de-essing, etc. www.izotope.comwww.izotope.com

Workflow I'd use

1. Separate the speakers first

• Speaker A → Track 1
• Speaker B → Track 2
• Boom/room mic → optional Track 3
• Music/ambience → separate tracks

If you only have a single mixed stereo recording containing both speakers, true speaker-by-speaker cleanup becomes substantially harder. Ideally, record each lav/boom to isolated channels.

2. Clean each voice individually
For each speaker:

Dialogue Isolate → Dialogue De-reverb → corrective EQ → compression → limiter

Don't push the AI processing too hard. A slightly imperfect but natural voice is preferable to the metallic/underwater artifacts you can get from aggressive separation.

3. Use de-reverb conservatively
RX specifically notes that stronger reverb detection/reduction can introduce artifacts and reduce dialogue clarity. www.izotope.coms3.amazonaws.com

I'd start around 20–40% perceived reverb reduction, listen, and increase only if necessary. If the room is extremely live, do several gentle stages rather than one extreme pass.

4. Match the speakers
After cleanup, normalize/match loudness and EQ between the voices. This is particularly important when one person was on a lav and the other was on a boom.

What about Adobe Premiere?

If you already edit in Premiere Pro, its AI Enhance Speech is a very good quick solution. Adobe says it can remove background noise and improve dialogue, and Premiere can also automatically match dialogue loudness across clips recorded in different rooms. www.adobe.com

I'd choose:

My overall pick: RX 12 Standard + Premiere Pro. Use Premiere for picture/editing and RX for the difficult audio restoration. RX 12 Standard includes Dialogue Isolate, De-reverb, Spectral De-noise, De-click, De-ess, and other useful dialogue-repair tools. www.izotope.comwww.izotope.com

If you tell me what you currently have (Premiere/Resolve/FCP, number of microphones, and whether the speakers are on separate tracks or one mixed file), I can give you a specific cleanup chain and settings for your interview footage.

For multi-speaker interview videos, my top recommendation is iZotope RX 12, especially if you want professional-quality results and control rather than a one-click AI filter.

iZotope RX 12

Recommended workflow

1. Separate the speakers first

• If each person was recorded on a separate lav/mic track, keep those tracks independent and process them individually.
• If everyone is baked into one stereo recording, RX 12's Stems View / Dialogue Isolate can help extract dialogue from the surrounding audio. RX 12 also has Scene Rebalance for separating dialogue, music, and effects. www.izotope.com
• For two people talking over each other, don't expect perfect "Person A / Person B" separation from a single mixed microphone. Dedicated isolated microphones are still dramatically better.

2. Reduce room reverb with Dialogue Isolate
RX's current Dialogue Isolate uses neural processing to distinguish speech from noise and room reflections. It combines dialogue isolation and de-reverberation, making it particularly appropriate for interviews recorded in reflective rooms. www.izotope.com

I'd start conservatively. Over-processing de-reverb tends to create the telltale watery/robotic AI voice. iZotope itself recommends subtle treatment for reverb reduction. www.izotope.com

3. Clean individual problems afterward
A typical chain would be:

Dialogue Isolate → De-reverb → De-hum/De-noise → De-click/De-plosive → EQ → compression → loudness matching

RX includes dedicated tools for these kinds of dialogue problems, including De-hum, De-reverb, De-rustle, De-wind, De-click and De-clip. www.izotope.com

If you want something much simpler

Adobe Enhance Speech is the easiest alternative. It accepts video files and is designed specifically to turn noisy/reverberant recordings into clearer dialogue. The current version can reduce reverb, chatter and background noise, and it supports MP4/MOV workflows. podcast.adobe.com

Adobe Enhance Speech

If you're already editing in Premiere Pro, you can use Enhance Speech directly in the timeline and adjust the Mix Amount to blend processed and original audio. helpx.adobe.com

My choice

One important caveat: if by "separates voices" you mean take one recording containing two overlapping people and produce two clean, independently editable voice tracks, that's a harder problem than ordinary dialogue isolation. I'd choose the workflow based on whether you have separate microphone tracks or a single mixed recording.

If you tell me what your source looks like (e.g. 2 lavs + camera mic, one shotgun, Zoom/phone recording, etc.) and what editor you use (Premiere, Resolve, Final Cut, etc.), I can recommend a specific processing chain and settings.

For multi-speaker interview videos where you want to separate voices and reduce room reverb, my top recommendation is iZotope RX 12, particularly if you want professional-quality control rather than a one-click cleanup.

Best overall: iZotope RX 12

iZotope’s RX 12 is unusually well suited to this job because it combines speaker detection, dialogue isolation, de-reverberation, and detailed repair in one workflow.

• Multiple Speaker Detection can distinguish different voices so you can process each speaker independently and keep their tonal balance consistent. www.izotope.com
• Dialogue Isolate separates speech from background noise and room reflections. RX 12's newer processing is specifically aimed at difficult dialogue recordings. www.izotope.com
• Dialogue De-reverb can reduce the sound of the room without simply gating out the ambience. iZotope recommends using it subtly because excessive processing can introduce artifacts. www.izotope.com
• You can then use RX's Spectral Repair, De-hum, De-click, Voice De-noise, etc., for problems that the AI doesn't completely solve. www.izotope.com

iZotope RX 12

A practical interview workflow

I'd do this rather than applying one aggressive "enhance" filter:

1. Separate the speakers
If you have individual lav/boom tracks, keep them separate. If everything is baked into a single stereo mix, use RX's speaker/stem tools where appropriate.

2. Dialogue Isolate — light/moderate
Pull the voices forward and suppress background noise/room reflections.

3. Dialogue De-reverb — gently
Use enough to shorten the perceived room, but stop before voices start sounding metallic or phasey. iZotope specifically recommends a light touch with de-reverb. www.izotope.comwww.izotope.com

4. Process each speaker separately
Match EQ, level, and dynamics between speakers. This is important when one person is close to a lav while another is farther away.

5. Repair individual problems
Use Spectral Repair for things like chair bumps, handling noise, clicks, coughs, or isolated intrusions rather than trying to make the AI solve everything.

6. Return the cleaned tracks to your video editor
Keep the original audio muted but available so you can compare and revert if the AI processing gets unnatural.

If you want something much easier

Adobe Podcast Enhance Speech is my choice for fast, low-effort cleanup. Its current Enhance Speech v2 supports video and specifically targets background noise, reverb, and difficult speech. podcast.adobe.com

The tradeoff is control: Adobe is excellent for "make this interview sound better" but RX is better for "this speaker has too much room, that speaker has HVAC noise, and I need them to sound like they were recorded in the same room."

My recommendation

One caveat: if two people are speaking simultaneously on a single microphone/track, no current AI tool can perfectly reconstruct two completely independent voices in every case. If you can record each interviewer/guest on separate lav or boom tracks, you'll get dramatically better results.

If you tell me what editor you're using (Premiere, DaVinci Resolve, Final Cut, etc.) and whether you have separate mic tracks or one mixed recording, I can recommend the exact workflow and settings.

For multi-speaker interview video, I’d recommend iZotope RX 11, especially if the recordings have significant room echo and the speakers overlap.

Best overall: iZotope RX 11

iZotope’s RX 11 is unusually well suited to this because it addresses both parts of your problem:

• Multiple Speaker Detection can distinguish different voices so you can apply processing per speaker. www.izotope.com
• Dialogue Isolate separates dialogue from background noise and includes Dialogue De-reverb, specifically for reducing room reflections. www.izotope.comwww.izotope.com
• The Advanced edition adds higher-quality offline processing and multiband controls, useful when you're trying to rescue difficult production audio. www.izotope.comwww.izotope.com

iZotope RX 11

Suggested workflow:

Original interview → speaker detection/editing → Dialogue Isolate + De-reverb → EQ → compression → loudness matching → video edit

I'd avoid aggressively processing the entire mixed interview at once. If you have separate lav/boom tracks for each person, clean each speaker independently, then mix them together. That gives you much better control over different voices and different amounts of room sound.

Easiest option: Adobe Podcast Enhance Speech

If you want something much faster and don't need detailed control, Adobe Podcast Enhance Speech v2 is excellent for interview cleanup. It specifically targets background noise and reverb and can process video files directly. podcast.adobe.com

Adobe Podcast Enhance Speech

The downside is that it's more of a finished-output enhancer than a true multi-speaker restoration workflow. You have less ability to independently control Speaker A versus Speaker B.

If reverb is the main problem

A very good specialized alternative is Acon Digital DeVerberate 3. Its deep-learning algorithm is designed specifically to separate dialogue from room reverb, and it works as a VST/VST3/AAX/AU plugin. acondigital.com

Acon Digital DeVerberate 3

My recommendation

One important caveat: if by “separates voices” you mean take one mixed recording containing two people and produce two completely independent voice tracks, that's a harder source-separation problem than ordinary dialogue cleanup. RX's Multiple Speaker Detection helps with identifying speakers, but it isn't equivalent to magically producing perfect isolated stems when both people talk simultaneously. www.izotope.com

If you tell me what you're editing in (Premiere, DaVinci Resolve, Final Cut, etc.) and whether you have separate mic tracks or one mixed audio track, I can recommend a specific workflow and settings.

For interview videos where you need speaker separation + room-reverb reduction, I’d recommend iZotope RX 12 as the primary cleanup tool, with your normal video editor (Premiere, Resolve, Final Cut, etc.) handling the picture edit.

Best overall: iZotope RX 12

iZotope RX 12

RX 12 is particularly well suited because it goes beyond generic “AI voice enhancement”:

• Multiple Speaker Detection can distinguish different voices so you can apply different processing to each speaker. www.izotope.comwww.izotope.comwww.izotope.compodcast.adobe.com
• Dialogue Isolate separates dialogue from background noise and includes Dialogue De-reverb, specifically designed to reduce room reflections. www.izotope.comwww.izotope.comwww.izotope.compodcast.adobe.com
• Scene Rebalance / Stems View in RX 12 can separate elements from a baked-in mix, useful if your interview audio is already mixed down rather than recorded on isolated tracks. www.izotope.com
• You can process each speaker differently—for example, stronger de-reverb on the interviewer and lighter processing on the guest.

Suggested workflow:

Original interview audio → speaker detection/separation → Dialogue Isolate → De-reverb → EQ → light compression → loudness matching → video editor

I'd use moderate de-reverb rather than trying to make the room completely disappear. Heavy processing can introduce metallic/phasey artifacts; iZotope itself recommends a relatively subtle approach and, when necessary, multiple lighter passes. www.izotope.com

Easier/cheaper option: Adobe Enhance Speech

If you want something almost automatic, Adobe Enhance Speech is excellent for quick interview cleanup. Its current version can reduce noise, reverb, chatter and background music, and it accepts video files. podcast.adobe.com

The catch is that it's more of a “make this dialogue sound good” tool than a surgical multitrack/speaker-separation environment. If your requirement is specifically “give me Speaker A and Speaker B as independently controllable clean voices,” I'd choose RX.

If you're already in Premiere

Adobe Premiere Pro has AI-powered Enhance Speech, noise reduction, Auto-Match loudness, and other dialogue tools built in. www.adobe.com It's a good one-tool workflow, but RX gives you substantially more control when the recording is genuinely difficult.

My pick:
RX 12 Standard/Advanced → best for serious interview restoration.
Adobe Enhance Speech → best for fast, low-effort cleanup.
Premiere alone → best if the audio is already reasonably good and you want everything inside the video editor.

If you tell me how the interview was recorded (two lavs, shotgun + lav, camera mic, Zoom/Teams, one stereo camera track, etc.), I can recommend the exact processing chain and settings for your situation.

For interview videos, I’d recommend DaVinci Resolve Studio as the main solution if you want the most control, especially when you have separate mic tracks for each speaker.

Best overall: DaVinci Resolve Studio

Its Fairlight audio tools are particularly well suited to this workflow:

• Dialogue Separator can isolate dialogue from other audio elements.
• Voice Isolation reduces room sound, HVAC, traffic, and reverberation.
• Dialogue Leveler helps keep two speakers at consistent perceived volume.
• Fairlight supports separate mono tracks, so you can process the interviewer and guest independently. www.blackmagicdesign.comforum.blackmagicdesign.com

A good workflow is:

Speaker A mic → Dialogue Separator/Voice Isolation → light EQ → compression → level

Speaker B mic → Dialogue Separator/Voice Isolation → light EQ → compression → level

Then manually duck the other speaker's track when someone talks. This tends to sound considerably more natural than trying to make one mixed stereo recording distinguish between speakers.

Easiest option: Descript Studio Sound

If you want almost no audio-engineering work, I'd try Descript Studio Sound.

It specifically targets spoken-word recordings and can reduce room echo/reverb and background noise, while its multitrack workflow lets you process different speaker tracks separately. www.descript.com

It's particularly attractive for interviews where the goal is simply:

"Make both people sound like they were recorded in a good room."

Fastest cleanup: Adobe Enhance Speech

Adobe Podcast Enhance Speech is excellent when you want a very quick rescue of difficult dialogue. Its current v2 system specifically targets noise and reverb and supports video files. podcast.adobe.com

The limitation is important for your use case: don't expect it to be a true two-speaker mixer. If both voices are baked into one recording, process separate speaker recordings when possible. Otherwise the AI may treat a quieter second voice as part of the material it should enhance.

What I'd choose

My pick: Resolve Studio + separate speaker tracks. If the recordings are particularly reverberant, I'd use AI cleanup moderately rather than pushing isolation to 100%—over-processing can create metallic/underwater artifacts. Blackmagic itself notes that using slightly less than maximum isolation can produce a more natural result. www.blackmagicdesign.comforum.blackmagicdesign.com

If you tell me what you're editing in (Premiere, Resolve, Final Cut, etc.) and whether you have separate mic tracks or one mixed camera recording, I can recommend a specific signal chain and settings.

For multi-speaker interview videos, I’d recommend a per-speaker cleanup workflow rather than a single “enhance the whole mix” pass.

Best overall: Adobe Podcast + your NLE

Adobe Podcast Enhance Speech is a strong first choice if your priority is quickly reducing room reverb while keeping dialogue natural. Its current Enhance Speech v2 specifically targets background noise and reverb, and it supports video files. podcast.adobe.com

Workflow:

1. Get each speaker onto a separate mic/track if possible.
2. Clean each speaker independently rather than feeding the combined interview mix into the AI.
3. Run the individual tracks through Enhance Speech at a moderate strength.
4. Bring the cleaned tracks back into Premiere, Resolve, Final Cut, etc.
5. Automate/duck the other speaker's track during each person's answers to minimize mic bleed.
6. Do final EQ, compression, and level matching in your NLE.

That separation matters: Adobe's own community guidance notes that Enhance Speech isn't multitrack-aware, so it can potentially interpret a second speaker bleeding into the primary mic as speech worth enhancing. community.adobe.com

If you want an easier all-in-one editor: Descript

Descript Studio Sound is probably the easiest alternative. Its Studio Sound is designed specifically for spoken audio and reduces echo/reverb and background noise, with an intensity control. Descript also lets you apply processing independently to tracks in a multitrack sequence. help.descript.com

I'd choose Descript if you're also doing transcript-based editing, captions, and rough cuts. Choose Adobe Podcast + your existing NLE if you already have a serious video editing workflow.

One important caveat

If by "separates voices" you mean you have one mixed recording containing two people and want AI to produce completely isolated Speaker A and Speaker B stems, that's a harder problem than ordinary dialogue enhancement. Most voice-enhancement tools are better at isolating speech from noise/reverb than perfectly unmixing two overlapping voices.

If you tell me what you currently have (e.g. two lavs + camera scratch audio, one stereo camera mic, or a Zoom/recorder multitrack) and whether you're editing in Premiere, Resolve, Final Cut, or something else, I can recommend a specific cleanup chain and settings.

For interview videos, I’d avoid treating this as just “noise reduction.” The best results usually come from a two-stage workflow:

1. Separate speakers into individual tracks
2. Clean each voice track with de-reverb + dialogue enhancement

A few good solutions depending on your workflow:

Best overall for video editors: Adobe + AI cleanup workflow

Use: Adobe tools (Premiere Pro / Audition) + AI enhancement

Workflow:

• Import interview video
• Generate separate speaker tracks (if needed via AI separation tools)
• Apply dialogue enhancement
• Use de-reverb carefully
• Mix each speaker independently

Good if you already edit in Premiere and need a professional post workflow.

Best “upload and fix it” option: AI speaker separation tools

For a single mixed interview recording (one camera mic, Zoom recording, phone audio), use an AI splitter first:

• SplitBySpeakers — designed specifically around interviews; separates interviewer/guest voices into separate tracks. splitbyspeakers.com
• Perso Dubbing Audio Separation — separates multiple speakers and background elements from audio/video uploads. perso.ai
• AudioPod AI Speaker Separation — provides per-speaker tracks with timestamps. audiopod.aisplitbyspeakers.com

After separation, process each speaker separately:

• light compression
• EQ (remove muddiness around 150–400 Hz)
• de-esser
• limiter
• de-reverb

Best for removing room echo/reverb

For interviews recorded in offices, living rooms, halls, or untreated rooms:

• Waves Clarity Vx DeReverb — AI-based vocal/dialogue reverb removal. www.waves.com
• CrumplePop EchoRemover — integrates with editors like Premiere, Audition, Final Cut, Resolve, and Pro Tools. borisfx.com
• Riverside Magic Audio — simpler one-click enhancement aimed at interview/podcast workflows. riverside.com

If you use DaVinci Resolve

A strong workflow is:

• Speaker separation → per-person tracks
• Voice isolation/noise reduction
• De-reverb
• Dialogue leveling

Resolve’s AI tools are increasingly capable for messy interview audio, especially when the source is usable but noisy. www.reddit.com

My recommended setup by scenario

For the highest quality, I’d use:

AI speaker separation → Waves Clarity Vx DeReverb or CrumplePop → final mix in Premiere/Resolve/Audition.

One caveat: if two people talk over each other heavily, no tool can perfectly reconstruct every syllable, but current AI separation is often good enough to make previously unusable interview audio workable. audiopod.aisplitbyspeakers.com

For interview videos with multiple speakers + room reverb, my strongest recommendation is iZotope RX 12, particularly RX 12 Advanced if this is professional or recurring work.

Best overall: iZotope RX 12

iZotope RX 12 is well suited because it attacks the two problems separately:

• Dialogue Isolate — uses neural processing to separate speech from background noise and can preserve the dialogue while reducing unwanted room sound. RX 12's version has improved neural nets and supports offline processing. www.izotope.comwww.izotope.com
• De-reverb — specifically reduces the acoustic space/room reflections in a recording. www.izotope.com
• Scene Rebalance — useful when the interview audio is already mixed with other elements and you need to rebalance dialogue, music, and effects. It's an Advanced feature. www.izotope.comwww.izotope.com
• De-bleed — useful when two microphones have substantial leakage from one speaker into the other mic. RX 12's rebuilt version uses machine learning and can work without a reference track. www.izotope.comwww.izotope.com

For a two-person interview, I'd use this workflow

1. Separate/clean each speaker's mic first.
If you recorded individual lavs or boom tracks, process each track independently rather than trying to clean the final stereo mix.

2. Dialogue Isolate → moderate strength.
Don't push it to maximum. Aggressive AI isolation can produce metallic/underwater artifacts. RX's own documentation notes that stronger separation can reduce unwanted sound at the expense of speech quality. downloads.izotope.com

3. De-reverb → moderate reduction.
Use enough to shorten the room without making the voice unnaturally dry. RX specifically recommends learning the reverb characteristics from a section containing room tone/reverberant tails when using its traditional De-reverb approach. downloads.izotope.com

4. De-bleed if the speakers' mics are leaking heavily.
This is particularly valuable for interviews where Speaker A's lav contains a noticeable amount of Speaker B.

5. EQ/compression afterward.
Once the room and bleed are under control, use gentle EQ and compression to make the speakers sound consistent.

Which RX version?

Elements already includes De-reverb, while Standard adds Dialogue Isolate; Advanced adds higher-end restoration/separation capabilities including Scene Rebalance. www.izotope.comwww.izotope.com

One important caveat: if by "separates voices" you mean take a single mixed recording where two people are talking over each other and produce Speaker A and Speaker B as independent tracks, that's a harder problem than ordinary dialogue isolation. RX is excellent for cleaning dialogue and reducing bleed/reverb, but I would choose a different workflow if true speaker-by-speaker source separation is your primary requirement.

If you tell me what your source audio looks like (e.g. two lavs + boom, one camera mic, or one mixed stereo track with both people), I can recommend the specific tool/workflow and settings I'd use.

For interview videos with two or more speakers + noticeable room reverb, I’d recommend a stem-based workflow centered on iZotope RX 12, rather than trying to fix the whole mixed track with a single “AI enhance” button.

My pick: iZotope RX 12

iZotope RX 12 is particularly well suited because its current tools can separate dialogue from unwanted material and reduce room reflections. Dialogue Isolate uses neural processing to improve speech clarity, while De-reverb reduces the acoustic space captured in the recording. RX 12 also adds Stems View and Scene Rebalance for more control over separated elements. www.izotope.comwww.izotope.com

For your use case, I'd structure it like this:

1. Separate each speaker
   • If you recorded individual lavs/boom mics, treat each microphone as its own dialogue stem.
   • If everything is baked into a single stereo recording, RX can still improve dialogue, but true speaker-by-speaker separation is much harder when both people are talking simultaneously.

2. Run Dialogue Isolate conservatively
   • Use it primarily to remove background noise and improve intelligibility.
   • Don't push separation too hard—the stronger the separation, the greater the potential for speech artifacts. downloads.izotope.com

3. Reduce room reverb
   • Use De-reverb/Dialogue De-reverb after isolation.
   • Aim for less room, not completely dry speech. Over-processing tends to produce that artificial, underwater/robotic sound.
   • RX specifically recommends using a section containing both direct speech and the reverberant tail when learning the reverb profile. downloads.izotope.com

4. Clean individual problems
   • De-rustle for lav clothing noise
   • De-plosive for P/B pops
   • De-hum for electrical/wireless interference
   • De-click/Mouth De-click for distracting mouth noises

5. Mix the speakers separately
   • Put Speaker A and Speaker B on separate tracks.
   • Automate their levels so the active speaker is consistently prominent.
   • Add a small amount of matching room tone underneath so the aggressive cleanup doesn't make cuts sound unnatural.

What I'd buy

Best overall: RX 12 Standard if you're doing this regularly. It gives you Dialogue Isolate plus a much broader restoration toolkit. www.izotope.comwww.izotope.com

Budget option: RX 12 Elements if your main problem is simply noisy/reverberant interview recordings. It includes De-reverb, Voice De-noise, De-hum, De-click, De-clip and Repair Assistant, but lacks the full Dialogue Isolate workflow. www.izotope.com

High-end/post-production: RX 12 Advanced if you're routinely rescuing difficult productions. Its additional separation and restoration capabilities become valuable when you have bleed, overlapping sources, lav problems, or badly recorded locations. www.izotope.com

One important caveat

If by “separates voices” you mean “I have one mixed microphone recording of two people talking over each other, and I want Speaker 1 and Speaker 2 as completely independent tracks,” that's a different problem from dialogue cleanup. I'd use a speaker-separation/stem-separation tool first, then RX for de-reverb and restoration.

If you tell me what your source audio looks like (e.g. two lavs, one boom, stereo camera mic, or a single mixed WAV) and whether you're editing in Premiere, DaVinci Resolve, Final Cut, or another NLE, I can recommend the exact workflow and settings.

For multi-speaker interview videos, I’d avoid a single “magic enhance voice” button as the primary solution. The best results usually come from a workflow that does three things:

1. Separate/isolate each speaker
2. Reduce room reverb without making voices metallic
3. Mix the cleaned dialogue consistently

Here are the solutions I’d consider:

Best overall (professional quality): iZotope RX + your video editor

iZotope iZotope RX

Workflow:

• Import each interview mic track separately
• Use:
  • Dialogue Isolate → pull voices away from noise/room tone
  • De-reverb → reduce room reflections
  • Voice De-noise → remove HVAC, computer fans, traffic
  • Spectral Repair → fix isolated problems (clinks, bumps, noises)
• Export cleaned tracks back into Premiere Pro, DaVinci Resolve, or Final Cut

Best for: documentary interviews, corporate interviews, podcasts, broadcast work.

Downside: more expensive and has a learning curve. mixinggpt.com

Best fast AI workflow: Adobe Podcast + editor cleanup

Adobe Podcast Enhanced Speech

Good when you have:

• one or two speakers
• inconsistent mic quality
• remote interviews
• echoey rooms

It can make poor recordings sound much closer to studio speech, but it gives less control than RX. mixinggpt.com

A practical workflow:

1. Export dialogue clips
2. Run through Enhanced Speech
3. Bring cleaned files back into your edit
4. Apply EQ/compression lightly

Best for multi-speaker separation: Accentize dxSplit / dialogue tools

Accentize

For difficult interviews where voices overlap with room noise, newer AI separation tools can split dialogue components (voice vs reverb vs noise) rather than simply reducing everything. www.accentize.com

This is useful for:

• panel discussions
• conference recordings
• two people recorded on one mic
• reverberant rooms

Best if you edit video in DaVinci Resolve

Blackmagic Design DaVinci Resolve

Resolve Studio’s Fairlight tools are strong for interview workflows:

• dialogue processing
• voice isolation
• EQ
• compression
• loudness matching

It keeps everything inside the video editor, which is convenient for frequent interview production. mixinggpt.comfilmora.wondershare.com

My recommended stack by scenario

Waves Audio also has AI dialogue cleanup tools such as Clarity Vx and Clarity Vx DeReverb aimed specifically at isolating dialogue and reducing ambience/reverb. www.waves.com

My default recommendation:
For serious interview videos, use iZotope RX for repair + DaVinci Resolve or Premiere for editing/mixing. If speed matters more than maximum control, use Adobe Podcast Enhance as a first pass and then do a light manual mix. mixinggpt.comfilmora.wondershare.com

If you tell me your setup (number of speakers, mic type, editing software, and whether the audio is already recorded), I can suggest a more specific chain and settings.