Automatic Speech Recognition
ESPnet
multilingual
audio
speech-translation
language-identification
Eval Results
Instructions to use espnet/owsm_ctc_v3.2_ft_1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use espnet/owsm_ctc_v3.2_ft_1B with ESPnet:
import soundfile from espnet2.bin.asr_inference import Speech2Text model = Speech2Text.from_pretrained( "espnet/owsm_ctc_v3.2_ft_1B" ) speech, rate = soundfile.read("speech.wav") text, *_ = model(speech)[0] - Notebooks
- Google Colab
- Kaggle
Commit History
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Use the Speech2Text interface of espnet 202610.post1
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Use the Speech2Text interface of espnet 202610.post1
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Add Open ASR Leaderboard evaluation results (#2)
- Add Open ASR Leaderboard evaluation results (7c84dd1087227dc1aed621e94d850a0f2a0898b1) Co-authored-by: Nathan Habib <SaylorTwift@users.noreply.huggingface.co>3678adc -
Add Open ASR Leaderboard evaluation results (#1)
- Add Open ASR Leaderboard evaluation results (2a8609825ee8c055249770d95387fac16407e57e) Co-authored-by: Nathan Habib <SaylorTwift@users.noreply.huggingface.co>d9562e0
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