Instructions to use espnet/chenda-li-wsj0_2mix_enh_train_enh_rnn_tf_raw_valid.si_snr.ave with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use espnet/chenda-li-wsj0_2mix_enh_train_enh_rnn_tf_raw_valid.si_snr.ave with ESPnet:
unknown model type (must be text-to-speech or automatic-speech-recognition)
- Notebooks
- Google Colab
- Kaggle
| espnet: 0.9.7 | |
| files: | |
| model_file: exp/enh_train_enh_rnn_tf_raw/99epoch.pth | |
| python: "3.7.6 (default, Jan 8 2020, 19:59:22) \n[GCC 7.3.0]" | |
| timestamp: 1612372229.396369 | |
| torch: 1.5.0 | |
| yaml_files: | |
| train_config: exp/enh_train_enh_rnn_tf_raw/config.yaml | |