facebook / automatic-speech-recognition updated 4 years ago

wav2vec2-large-960h-lv60-self

Name: wav2vec2-large-960h-lv60-self
Author: facebook

The large model pretrained and fine-tuned on 960 hours of Libri-Light and Librispeech on 16kHz sampled speech audio. Model was trained with Self-Training objective. When using the model make sure that your speech input is also sampled at 16Khz.

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Commercial use: allowed apache-2.0 Not gated 1 languages View on Hugging Face ↗

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Specifications

Architecture: Wav2Vec2ForCTC
Vocabulary: 32
Layers / heads: 24 / 16
Licence: apache-2.0
First seen on the Hub: 2022-03-02
Training datasets: librispeech_asr
LibriSpeech (clean) (reported): 1.9
LibriSpeech (other) (reported): 3.9
Added to our catalog: 2026-07-28

Compare with

speaker-diarization-3.1 8.9 M whisper-large-v3-turbo 8.7 M whisperkit-coreml 8.3 M whisper-large-v3 5.5 M speaker-diarization-community-1 5.3 M whisper-base 4.8 M

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