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Understanding AI in Audio Post: What It Means and How It’s Used

Aug 18, 2025

7 min read

At Smart Post, the term “AI” in audio post doesn't point to one single thing. It covers a set of practical tools that help us work faster while keeping the craft fully in human hands.


This guide walks through the four families of technology we actually use in audio post. These include ML applied to audio, Speech AI such as ASR and TTS, LLM based automation tools that help with text and formatting, and generative audio tools. We also explain where each one fits into real workflows such as turnover, prep, cleanup, editorial, design, mixing, metadata, and delivery.


The simple idea behind all of this is that these tools take care of the repetitive tasks. This gives us more space to make creative decisions without slowing down.


Our "AI" motto has become: Tools speed the chores; people shape the story.


Abstract head built from speakers, cables, and waveform graphs, representing AI in audio post-production at Smart Post.

What AI Means to Us

In our daily work, AI takes four practical forms.


  • Machine learning (ML) on audio

    These tools learn from examples and help clean, separate, enhance, or organize recorded material. They are used for denoising, dereverb, source separation, editorial cleanup, conforming, and anything that helps make rough production audio easier to work with.


  • Speech AI, ASR and TTS

    ASR turns spoken words into text.

    TTS turns text into spoken words or performs voice modeling.

    We only use these when fully cleared within SAG AFTRA rules and with informed consent.


  • Large Language Models for Text and Workflow Automation

    These tools summarize, outline, tag, organize, and prepare notes or metadata. Everything they produce is reviewed by a human. They simply help with speed.


  • Generative Audio and Design Tools

    These tools can reference ambiences, textures, and sound libraries to spark ideas. They do not replace real performances, Foley, sound design, or mix decisions, EVER.


Row of four glossy 3D icons: brain (ML), speech bubble (ASR/TTS), document with pencil (LLM), and waveform (generative audio).


Where AI Helps Us

Below are the areas where these tools make a noticeable difference.


Turnover and Prep

  • Quickly flag production audio that is noisy, clipped, roomy, or otherwise problematic

  • Batch level dialogue and organize file naming and metadata

  • Assist with cue sheet helpers and consistency checks


Dialogue Editorial

  • Clean up dialogue with fewer artifacts

  • Separate lines from noise, FX, or music when possible

  • Spot alternate dialogue takes that appear in dailies but not in AAF or OMF turnovers

  • Remove long silences or fillers in dialogue only material


ADR and Continuity

  • Align ADR timing and pitch to production audio

  • Align boom and lav tracks so they remain phase coherent

  • When cleared, apply subtle timing or pitch fixes using voice modeling


Pre-Dub and Mix

  • Provide first pass suggestions for leveling or EQ to speed up early decisions

  • Perform light cleanup or balancing that keeps the mix moving

  • Add semantic markers for lines that need attention in the final mix

  • Help with object placement, upmixing, and preview formats for spatial audio


Delivery and QC

  • Check and correct loudness for multiple platforms

  • Generate captions and transcripts with human review


Archive and Asset Management

  • Tag speakers and scenes so material is easier to retrieve later

  • Keep transcripts linked to scripts, assets, and recorded material


Remote Recording, Playbacks, and Review

  • Provide low latency tools for recording and streaming sessions

  • Allow producers, directors, and mixers to review material and request fixes more efficiently



The Tools We Use (...and Why)


Cleanup and Restoration (these are our current ML workhorses)

Alignment and Continuity

Conform and Change Management

ADR, Dubbing, ASR/TTS/Voice Cloning and Recording

  • Sounds In Sync EdiCue / EdiPrompt – cue sheets and on-screen overlay of streamers/beeps/prompting.

  • Non-Lethal Applications Cue Pro – ADR cueing app with on-screen streamers and live, shareable cue sheets.

  • VoiceQ – dubbing/ADR with clear syllable timing overlays.

  • Resemble.ai – create, edit, emote, and localize voices (either web or API). Good for temp ADR, pickups, and localization - when cleared.

  • ElevenLabs – platform of AI voice tools – high-quality text-to-speech, speech-to-speech, consent-based voice cloning, multilingual dubbing, and huge voice library – handy for temp ADR and quick pickups when cleared.

  • Google TTS/ Custom Voice – wide language coverage; custom models with great review process.


Remote Record and Review

  • Source-Connect – industry-standard low-latency remote record and playback.

  • SessionLinkPRO / Cleanfeed – browser-based talent/producer connections.

  • Audiomovers ListenTo – stream your DAW bus to clients in hi-res for approvals.

  • ClearView Flex – secure, low-latency streaming for remote review.

  • Streambox – Spectra (software) and Chroma (hardware) – deliver secure, low-latency, streaming for remote review/collaboration.


Sound Design and Foley

  • Krotos Studio / Weaponiser / Dehumaniser – performance-driven, layered SFX with quick variation; great for fast, creative ideas and design.

  • Krotos Reformer Pro – “perform” Foley/textures from mic or track input (cloth, footsteps, creatures, etc.) for natural, organic ideas.

  • Soundly – our hub for fast search, collections, and consistent SFX tagging/versioning, plus Voice Designer for PA/airport announcements, background conversation, and quick utility VO.

  • Accentize Chameleon – AI reverb-matching plugin that analyzes a recording’s room acoustics and builds a reverb profile you can apply to ADR, Foley, or dry tracks.

  • ElevenLabs Sound Effects – generates sound effects from simple text prompts, with quick variations. Used as tools, not inventory – used in context, not resold, and we stick to the provider’s terms.


Library and Metadata

  • Soundly (also listed above), Soundminer and BaseHead for deep metadata tagging/scanning, DAW spotting, and alternative search workflows of sound libraries.


Loudness, Metering and Delivery

Spatial and Immersive


SAG-AFTRA logo with human silhouette and ‘SAG•AFTRA’ wordmark.

Union Compliance (SAG-AFTRA): Digital Replicas and Voice Synthesis

Most of the actors we record are SAG AFTRA members. Any form of digital voice replica follows strict rules.


  • Consent first – informed, written consent before any creation or use of a digital replica. We are completely transparent and pride ourselves on that.

  • Defined scopewhere, how long, and for what the replica may be used; new uses require new approvals.

  • Compensation and credit – union-compliant terms per the applicable agreement.

  • Security – private handling, least-privilege access, documented chain of custody.


Our policy: We only engage TTS/voice-cloning workflows when a project has documented SAG-AFTRA compliance – in accordance with the SAG-AFTRA SOUND RECORDINGS CODE (consent on file, scope defined, compensation arranged). If not cleared, we strongly urge recording traditional ADR.



Human audio engineer in headphones arm-wrestling a robot across a mixing console with waveform screens in the background.

The Human Element: Why Craft Still Wins


Give ten pros the same tools and you’ll get ten different results... and that’s the point!


  • Taste and intent – deciding what to fix vs what to keep is storytelling, not algorithmic decision making.

  • Context and judging trade-offs – sometimes a little noise, air, or a slight rustle in the recording is the "life" that would otherwise be a lifeless, artifact-free line. This will ALWAYS feel more natural to the human ear.

  • Performance direction – ADR/Dialect coaching/direction, mic choices, and/or room setups change outcomes before any tool runs a "process" to dictate a performance.

  • Session architecture – how editors, assistants, and techs name, route, group, and setup templates for each session helps speed up creative decision-making and prevent errors.

  • Problem framing – knowing why a clip might sound wrong guides the right decision making – and avoids any additional over-processing or time wasted.

  • Ears and trust – feedback discussions with directors/producers/talent, fast A/B comparisons, and delivery confidence can’t be automated.


AI can help accelerate some tasks, but it can’t model your taste, your judgment, or your collaboration and vision with a director or producer.


THIS human touch is the difference between “fixed” and finished.



What AI Won’t Do Here

  • Replace actors, mixers, or editors – taste and storytelling are human.

  • Decide creative intent – it can suggest; it doesn’t direct.

  • Break trust – no unapproved cloning of any kind; no shady data usage whatsoever.


Results You Can Expect

  • Clean dialogue tracks built faster, with fewer artifacts.

  • Quicker first passes that keep creative momentum flowing.

  • Consistent loudness/metadata tagging/captioning across multiple versions.

  • Better exchanges between editorial, recording, mix, and delivery departments.



FAQ


Can you replace a missed word without ADR?

Sometimes — only with documented performer consent under certain union rules and clearances; otherwise we strongly urge using ADR.

Do you use AI to fix bad Zoom/phone/lecture audio?

Oftentimes, yes — send a short sample and we’ll show what’s recoverable without artifacts or "chirping" effects.

Will AI change the sound of my production tracks?

Our bias is preservation. We share before/after examples (when used), explain trade-offs, and you approve any final versions.

Do you train any AI models on our audio?

No. We don’t use your material to train public models. Project audio stays private and is used only for that specific project only.

Do you provide logs of any AI steps used?

Yes — upon request we’ll note tools used and provide before/after clips for any key fixes. Our processes are always "non-destructive" and transparent – absolutely no unethical use whatsoever.

Can you match mics?

Often — yes, using Auto-Align Post, Revoice, EQ matching, mic modeling and/or IRs (aka. impulse responses), we're able to match production mics or create similar "tonal" matches so dialogue sounds smooth and natural and there's no perceived difference in technical characteristics.

Can AI fix bad production audio?

Often times, yes — especially for hisses, hums, noise, clipping, and roomy mics. Heavy winds/waves/reverbs or overlapped sounds set limits, so we test short samples and provide realistic before/after of our work before diving in further.

Can you separate dialogue from music/FX if we don’t have stems?

Sometimes. ML separation (e.g., spectral/source separation) can pull voices from mixes – even music and effects. We’ll try a clip, flag artifacts, and recommend the cleanest path forward to split any composite tracks.



Let’s Post Smart.

Ready to hear how any of these workflows could help your next project?

Request a Quote or Contact the Team and we’ll review a sample and outline options for you.

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