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YosukeHiguchi_espnet2_wsj_asr_transformer_maskctc
espnet/YosukeHiguchi_espnet2_wsj_asr_transformer_maskctc
YosukeHiguchi_espnet2_wsj_asr_transformer_maskctc is a automatic speech recognition model from espnet. Use it when you need speech turned into text.
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Public
Updated Sep 19, 2026
Repo size
109 MB
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.pth109 MB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Access
- Public
- Created
- Mar 22, 2022
- Updated
- Sep 19, 2026
- SHA
- 298b07ba
Model card
From the Hugging Face model README
Usage
import librosa
from espnet2.bin.asr_inference import Speech2Text
speech2text = Speech2Text.from_pretrained(model_tag="espnet/YosukeHiguchi_espnet2_wsj_asr_transformer_maskctc")
# librosa resamples and mixes to one channel, so any file works; 16000 is
# what nearly every espnet recogniser is trained on - check this model's
# config if its audio is not 16 kHz
speech, rate = librosa.load("audio.wav", sr=16000, mono=True)
text, *_ = speech2text(speech)[0]
print(text)
- Task
- Automatic Speech Recognition
- Created
- Mar 22, 2022
- Updated
- Sep 19, 2026