Introducing AudioShake Speech Recovery for Noisy and Low-Resolution Audio
Today we're introducing Speech Recovery, a new family of AudioShake models that recover intelligible speech from degraded, noisy, and low-resolution recordings. The suite launches with two models, Speech Denoise and Speech DeReverb, both of which create a clean speech track from a noisy recording without synthetic processing, so the output stays faithful to the source.
A 911 call buried under sirens, a player’s lav mic in a noisy stadium, a source captured on a phone in a crowded street, archival footage where the picture holds up but the audio barely does. These recordings, where speech matters most, are often the hardest to clean, and existing tools run into one of two limits: some can't recover the speech, while others–harnessing generative ai speech enhancement techniques– clean it up so aggressively that they hallucinate content that was never there. Speech Recovery is built for exactly this gap: it recovers the intelligible speech already in the recording, without synthetic processing, so the result stays faithful to the source.
AudioShake Tackles Speech in Low Resolution and Degraded Audio
AudioShake’s Speech Recovery models were designed specifically for low-resolution and heavily degraded speech. Whereas our dialogue model was built to isolate clean dialogue from high-resolution recordings, Speech Denoise and Speech DeReverb make it possible to recover understandable speech from recordings that would otherwise be difficult or unusable.
What is Speech Denoise?
Speech Denoise improves speech intelligibility in noisy recordings by clearing the sounds that would otherwise drown out the words — hum, hiss, crowd babble, wind, and other environmental interference. It does this while keeping the natural ambience intact, so it doesn’t flatten the recording, and the audio still sounds like the space it was captured in.
Speech Denoise also sharpens background speakers, not just the closest voice. And it holds up against novel, unexpected noises — a bus rolling past, a sudden clatter, a one-off interruption — exactly where traditional denoisers fail. It's built for the noisiest real-world recordings — emergency calls, field interviews, body-cam and surveillance audio, crowd-heavy sports captures — where the words are buried, but the audio has to stay true to what was said.
What is Speech DeReverb?
Where Denoise preserves the natural sound of a space, DeReverb deliberately removes it. In a reverberant space, sound bounces off hard surfaces, and those reflections trail the speech and smear the words even when nothing is technically noisy. DeReverb strips that reverberant room signal — early reflections, echo, and the room tail — to produce a dry, closer-sounding result.
It works best when the room is the problem — an interview shot in a stairwell or large venue, a podcast tracked in a hard-surfaced room, dialogue captured inside a vehicle. Speech with reverb removed also speeds up ADR matching, editing, and transcription downstream.
Use Cases for Speech Recovery Across Film, TV, Podcasting, and Forensics
Speech Recovery is built for any workflow where speech is present but hard to understand, including:
- Broadcast and journalism. Field recordings in noisy environments, sports audio under heavy crowd noise, and remote interviews captured outside studio conditions. When that audio needs to go to air or into a documentary, standard tools often aren't sufficient, and generative alternatives aren't editorially defensible.
- Podcasting and content creation. Remote interviews recorded over varied connections, guests in untreated home rooms, and on-location segments captured without studio gear. Speech Recovery cleans up dialogue that would otherwise need a re-record, tightening clarity and reducing room echo so episodes sound consistent regardless of where or how they were captured.
- Film and television. Speech Recovery handles location audio compromised by weather or environmental noise, along with reverberant interiors like rooms, stairwells, and large venues. For unscripted and documentary material where re-recording is undesirable, it can speed up dialogue cleanup and produce drier dialogue for ADR matching and editing.
- Public safety and forensics. Emergency calls, low-quality surveillance and body-cam audio, and reverberant recordings from rooms or vehicles. Because the output stays faithful to the source, it's suited to audio evidence review and transcription, where provenance matters.
- Healthcare and legal transcription. Recorded consultations and proceedings captured in noisy or echoey conditions are made clearer and easier to transcribe accurately.
Try Speech Recovery – Available Now
If you're working with low-quality or degraded recordings, see what Speech Recovery can do for you. Speech Recovery is now available via AudioShake Live, AudioShake Indie, and via AudioShake’s API and SDK.
FAQ
What's the difference between Speech Recovery and generative audio tools like Adobe Enhance?
Unlike generative enhancement tools, AudioShake’s Speech Recovery models isolate existing speech signals rather than regenerate them, which prevents synthetic artifacts, hallucinations, or over-sterilization that can make speech sound unnatural.
For news organizations, forensic investigators, emergency services, legal proceedings, or anyone working with audio where the provenance of the original signal matters, this principle is mandatory. You cannot introduce synthesized content into a recording that may be used as evidence, aired as journalism, or cited as a faithful historical document.
What’s the difference between Speech Recovery and audio restoration tools like Izotope Rx?
Tools like iZotope RX typically require lengthy manual configuration and careful adjustment to achieve the best results, which can not scale when working with large swaths of audio. They can also struggle with unexpected or highly variable background noise, which can introduce artifacts such as acoustic smearing.
AudioShake’s Speech Recovery models can automate the retrieval of clean speech from large volumes of audio with no manual configuration, while delivering consistently high-quality results.
How much does Speech Recovery improve Speech Intelligibility?
We tested Speech Recovery extensively against our existing best-in-class dialogue model across every category of difficult audio.
Compared to the original untreated recording, Speech Recovery delivers nearly 2× clearer speech, over 2× better sound quality, and up to 4× less echo. And for recordings where our previous tools produced no usable output at all, Speech Recovery recovers clear, workable speech.
How does Speech Recovery compare to AudioShake’s Dialogue Isolation models?
Unlike our previous dialogue models, which were trained primarily on high-resolution dialogue recordings from film and broadcast environments, these models are designed to operate effectively on low-resolution and heavily degraded speech.
Where does Speech Recovery fit into an existing workflow?
The Speech Recovery System can fit into a workflow in several ways, depending on the use case:
- Post-production: Apply before, or in place of, detailed manual cleanup via audio preprocessing — reducing hands-on editorial time without replacing specialist judgment where it's needed.
- Transcription and ASR pre-processing: Run audio through Speech Recovery before it reaches a transcription system to improve input quality.
- Automated dialogue cleanup pipelines: Integrate via API or SDK as an automated enhancement step in content ingest or processing workflows.
- One-off file cleanup: Upload directly to AudioShake's web app for quick enhancement with no technical setup — suitable for podcasters, journalists, and content creators.