Recover intelligible speech from degraded audio

AudioShake’s Speech DeReverb already includes denoising, so for audio that's both noisy and reverberant, you can just run DeReverb. Use Speech Denoise on its own when the room sounds fine and you only need the noise gone

Our previous dialogue models were trained primarily on high-resolution recordings from film and broadcast. Speech Denoise and Speech DeReverb are designed to operate on low-resolution and heavily degraded speech, recovering understandable audio from recordings that would otherwise be difficult or unusable.

Speech Recovery is available via AudioShake Live, AudioShake Indie, and the AudioShake API and SDK. The SDK supports real-time processing for live environments.

Yes. Both models recover the speech already in the signal without synthetic processing, so nothing in the output is invented. That makes it suited to broadcast, audio evidence review, and archival work, where the provenance of the original recording is part of its value.

Generative enhancement tools regenerate speech, which can introduce synthetic artifacts, hallucinations, or over-sterilization that makes audio sound unnatural. Speech Recovery isolates the speech already in the recording instead of regenerating it. For news organizations, forensic investigators, emergency services, legal proceedings, or anyone working with audio where the provenance of the original signal matters, that 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synthesized content into a recording that may be used as evidence, aired as journalism, or cited as a faithful historical document.

Tools like iZotope RX typically require lengthy manual configuration to get the best result, which doesn't scale across large volumes of audio. They can also struggle with unexpected or highly variable background noise, introducing artifacts such as acoustic smearing. Speech Recovery automates clean-speech retrieval across large volumes with no manual configuration, at consistent quality.

Several ways, depending on the use case: as an audio preprocessing step before or in place of detailed manual cleanup; as an ASR pre-processing step to improve input quality before transcription; as an automated enhancement step integrated via API or SDK in content ingest pipelines; or as one-off file cleanup uploaded directly to the AudioShake web app, with no technical setup.

It depends on what's degrading the recording. If interfering sound is burying the words — hum, hiss, crowd noise, wind — use Speech Denoise. If the words are smeared by a room's reflections and echo even when nothing is technically noisy, use Speech DeReverb. If both are happening, you can apply both.