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wanchichen_fleurs_asr_ebf_scctc
espnet/wanchichen_fleurs_asr_ebf_scctc
wanchichen_fleurs_asr_ebf_scctc is a automatic speech recognition model from espnet. Use it when you need speech turned into text. It is set up for espnet.
This model was trained by William Chen using the fleurs recipe in espnet.
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Repo size
2.4 GB
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.pth2.4 GB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- espnet
- Access
- Public
- Created
- Feb 12, 2024
- Updated
- Sep 19, 2026
- SHA
- 79366c85
Datasets
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/wanchichen_fleurs_asr_ebf_scctc")
# 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)
ESPnet2 ASR model
espnet/wanchichen_fleurs_asr_conformer_sctctc
This model was trained by William Chen using the fleurs recipe in espnet.
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- Task
- Automatic Speech Recognition
- Library
- espnet
- Languages
- en
- Created
- Feb 12, 2024
- Updated
- Sep 19, 2026