Automatic Speech Recognition
ESPnet
multilingual
audio
speech-translation
language-identification
Eval Results
Instructions to use espnet/owsm_ctc_v4_1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use espnet/owsm_ctc_v4_1B with ESPnet:
import soundfile from espnet2.bin.asr_inference import Speech2Text model = Speech2Text.from_pretrained( "espnet/owsm_ctc_v4_1B" ) speech, rate = soundfile.read("speech.wav") text, *_ = model(speech)[0] - Notebooks
- Google Colab
- Kaggle
Commit History
10 days ago
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Link the demo for this model
Verified signatureThe card had no demo link, while the OWSM v4 cards all carry one. espnet/owsm-ctc-v4 runs this checkpoint and is maintained from egs2/owsm_ctc_v4/s2t1/demo in the espnet repository. The encoder-decoder sibling is named too, since the two Spaces offer the same tasks and the point of keeping both is comparing the models on the same audio. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>8ab32d9
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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 (#4)
- Add Open ASR Leaderboard evaluation results (7f54e55f0d46940f1fd2457dd9c5785b009386ec) Co-authored-by: Nathan Habib <SaylorTwift@users.noreply.huggingface.co>6db4171 -
Add Open ASR Leaderboard evaluation results (#3)
- Add Open ASR Leaderboard evaluation results (53073bf345032c8593dec5dcd254de121466e1be) Co-authored-by: Nathan Habib <SaylorTwift@users.noreply.huggingface.co>aa8ecae
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Add pipeline tag and link to paper (#1)
Verified signature- Add pipeline tag and link to paper (5fce1cd2af86d44e21770dd970b02198670ff195) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>0f96e13
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