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
| espnet: '202604' | |
| files: | |
| s2t_model_file: exp/s2t_train_conv2d_size768_e9_d9_mel80_raw_bpe40000/valid.total_count.ave_5best.till70epoch.pth | |
| python: 3.12.8 | |
| torch: 2.9.1+cu128 | |
| yaml_files: | |
| s2t_train_config: exp/s2t_train_conv2d_size768_e9_d9_mel80_raw_bpe40000/config.yaml |