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
File size: 250 Bytes
ef80619 | 1 2 3 4 5 6 7 8 9 | 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
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