AudioShake builds AI models for separating and understanding sound.
Our technology turns mixed audio into usable components and structured data for music, media, speech, and machine-learning workflows.
Separate multi-speaker recordings into individual speaker tracks, including overlapping speech, with diarization and confidence scores.
Isolate dialogue and speech from background noise, music, and other interference for transcription, voice AI, media, and real-time applications.
AudioShake provides tools for separating, detecting, and identifying audio in film, television, broadcast, and other media workflows.
- Remove Dialogue for Dubbing
- Remove Music from Content for Copyright Compliance
- Detect Music in Content
- Identify Music
Separate, transcribe, and transform music for production, interactive, and creator workflows.
We build and contribute to open evaluation tools and benchmarks for audio AI.
ALT-Eval is an evaluation toolkit for Automatic Lyrics Transcription (ALT), designed to measure both transcription accuracy and readability.
JAM-ALT is a community benchmark for automatic lyrics transcription, developed by AudioShake and Spotify.
It provides human-transcribed lyrics with word-level timestamps for evaluating lyrics transcription and alignment systems.