Automatic Speech Recognition
ESPnet
multilingual
audio
phone-recognition
grapheme-to-phoneme
phoneme-to-grapheme
Instructions to use espnet/powsm_ctc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use espnet/powsm_ctc with ESPnet:
from espnet2.bin.asr_inference import Speech2Text model = Speech2Text.from_pretrained( "espnet/powsm_ctc" ) speech, rate = soundfile.read("speech.wav") text, *_ = model(speech)[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 089fa9212edfc65fb62fb219b8726ffd31f6672087a389a74621ec247194e2dd
- Size of remote file:
- 968 kB
- SHA256:
- 9b9a8b76353430d41a1b8f7f2ec0f40fa8c4e75567eaef6887bdbb893c55236a
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