Models

AudioShake models define the type of processing applied to your source audio. You can combine multiple models in a single /tasks request to generate multiple outputs from the same file. See Formats for supported input and output file types.

Category	Description
Instrument stem separation	Isolate vocals, drums, bass, guitar, and other instruments from music
Speech	Multi-speaker separation and Speech Recovery
Post-production	Dialogue, effects, and music separation for dubbing and editing
Copyright compliance	Music detection, identification, and removal
Lyric transcription	Time-synced lyrics and transcript alignment

Instrument stem separation

Use these models to split songs into musical components for remixing, post-production, education, and interactive experiences.

Model	Description	Credits / min
`vocals`	All sung voices together (lead + backing).	1.0
`vocals_lead`	Primary lead melody/lyric vocal only.	1.0
`vocals_backing`	Backing parts only (harmonies, ad-libs, choir).	1.0
`instrumental`	Full music mix with vocals removed.	1.0
`drums`	Percussion and drum kit sources (drums, congas, hi-hat, cajon).	1.0
`bass`	Low-end bass sources (electric bass, double bass, bass synth).	1.0
`guitar`	All guitar-family parts together (acoustic + electric).	1.0
`guitar_electric`	Electric guitar only (clean or distorted).	1.0
`guitar_acoustic`	Acoustic/plucked guitar-family sources (acoustic guitar, banjo, lute).	1.0
`piano`	Acoustic piano only.	1.0
`keys`	Keyboard family: acoustic, electric, digital pianos, clavinet, Hammond, harpsichord.	1.0
`strings`	Bowed or pizzicato string instruments and sections.	1.0
`wind`	Wind instruments including woodwind and brass (flute, saxophone, clarinet, bassoon, harmonica).	1.0
`other`	Everything except vocals, drums, and bass.	1.0
`other-x-guitar`	Everything except vocals, drums, bass, and guitar.	1.0

Speech

Models for multi-speaker separation and Speech Recovery (denoise and de-reverb).

Model	Description	Credits / min
`multi_voice`	Outputs one stem per speaker from a mixed multi-speaker source, even with overlapping speech.	10.0
`speech_denoise`	Remove background noise, hum, and interference from speech while preserving natural acoustics. Effective for low-resolution audio, noisy environments, and forensic intelligibility.	1.5
`speech_dereverb`	Remove reverberant room signal (reflections, echo) to improve intelligibility in echoey spaces and ease downstream post-production.	2.0

Maximum input length for multi_voice is 1.5 hours.

Post-production

Separation models for dubbing, dialogue cleanup, and audio editing workflows.

Model	Description	Credits / min
`dialogue`	Speech-focused stem for podcasts, interviews, and film/TV dialogue.	1.5
`effects`	Ambience and SFX bed with dialogue and music removed.	1.5
`music_fx`	Keep music + effects; remove dialogue.	1.5

Copyright compliance

Models for detecting, identifying, and removing music in content.

Model	Description	Credits / min
`music_detection`	Returns time ranges where music is present.	0.5
`music_identification`	Identify music and return track metadata.	N/A
`music_removal`	Keep speech + effects; remove background music.	N/A

Lyric transcription

Use these models to produce transcripts and time-synced text. These models are state of the art for lyric transcription.

Model	Description	Credits / min
`transcription`	Generate a line-level lyric transcript from a song. Best for getting lyrics as text.	1.0
`alignment`	Generate precise word-level and line-level timestamps. Use this for karaoke, subtitles, and any workflow that needs per-word timing. Transcribes automatically if no transcript is provided.	1.0

For alignment, provide one audio source (url or assetId) and optionally a transcript input (transcriptUrl or transcriptAssetId).

Maximum input length for transcription and alignment is 45 minutes.

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Instrument stem separation

Speech

Post-production

Copyright compliance

Lyric transcription

​Instrument stem separation

​Speech

​Post-production

​Copyright compliance

​Lyric transcription

Instrument stem separation

Speech

Post-production

Copyright compliance

Lyric transcription