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ElevenLabs releases Cue, a forced alignment model for character-level audio timing

2 articles2 sourcessince Oct 28Last article 2h ago ·

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ElevenLabs releases Cue, a forced alignment model that places each character of an audio file on a timeline.

ElevenLabs says Cue beat every aligner it tested on real-world recordings in all 29 benchmark languages, with average timing errors of 179 milliseconds on full recordings. The company says it aligns an hour of audio in about half a second on its production GPU.

Cue already powers every Speech to Text transcription on ElevenLabs. It is also available on its own through the Forced Alignment API.

Written by AI from the articles below · updated Oct 28, 4:04 PM ET

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The articles in this story. Times are ET.

Oct 28
  1. ElevenLabsOfficial
    ElevenLabs releases Cue, a forced alignment model for any audio length

    AIElevenLabs says its new forced alignment model, Cue, places every character on the audio timeline more precisely than any aligner it tested. On real-world audio, Cue was more accurate than every open-source aligner tested across 29 languages, and it aligns an hour of audio in about half a second on one GPU. Cue powers ElevenLabs Speech to Text and is also available through the Forced Alignment API.

    Image from @ElevenLabs's post
  2. ElevenLabs BlogOfficial
    ElevenLabs' Cue aligns transcript characters to audio in a single pass

    AIElevenLabs introduces Cue, a forced alignment model that places every character in an audio file on a timeline and powers its Scribe speech-to-text models. ElevenLabs says Cue beat every aligner it tested on real-world recordings in all 29 benchmark languages. The company reports average timing errors of 179 milliseconds on full recordings and aligns an hour of audio in about half a second on its production GPU.

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