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espnet
/
powsm

Automatic Speech Recognition
ESPnet
multilingual
audio
phone-recognition
grapheme-to-phoneme
phoneme-to-grapheme
Model card Files Files and versions
xet
Community
1

Instructions to use espnet/powsm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • ESPnet

    How to use espnet/powsm with ESPnet:

    from espnet2.bin.asr_inference import Speech2Text
    
    model = Speech2Text.from_pretrained(
      "espnet/powsm"
    )
    
    speech, rate = soundfile.read("speech.wav")
    text, *_ = model(speech)[0]
  • Notebooks
  • Google Colab
  • Kaggle
powsm / textnorm_retrained
1.38 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
cjli's picture
cjli
Create meta.yaml
c02412d verified 4 months ago
  • data
    Rename updated/data/token_list/bpe_unigram40000/bpe.model to textnorm_retrained/data/token_list/bpe_unigram40000/bpe.model 4 months ago
  • exp
    Upload textnorm_retrained/exp/s2t_train_ctc3_conv2d_size768_e9_d9_mel128_raw_bpe40000/config.yaml with huggingface_hub 4 months ago
  • meta.yaml
    337 Bytes
    Create meta.yaml 4 months ago