Instructions to use espnet/voxcelebs12_ska_mel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use espnet/voxcelebs12_ska_mel with ESPnet:
unknown model type (must be text-to-speech or automatic-speech-recognition)
- Notebooks
- Google Colab
- Kaggle
Update model
Browse files
README.md
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```bash
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cd espnet
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git checkout
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pip install -e .
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cd egs2/voxceleb/spk1
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./run.sh --skip_data_prep false --skip_train true --download_model espnet/voxcelebs12_ska_mel
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<!-- Generated by scripts/utils/show_spk_result.py -->
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# RESULTS
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## Environments
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date:
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- python version: 3.9.16 (main, Mar 8 2023, 14:00:05) [GCC 11.2.0]
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- espnet version: 202310
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| | Mean | Std |
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| Target |
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| Non-target |
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| Model name | EER(%) | minDCF |
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| conf/tuning/train_ska_Vox12_emb192_torchmelspec_subcentertopk | 0.
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## SPK config
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```bash
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cd espnet
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git checkout d9646a75807a30afff85a83155247a81cc7fe389
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pip install -e .
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cd egs2/voxceleb/spk1
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./run.sh --skip_data_prep false --skip_train true --download_model espnet/voxcelebs12_ska_mel
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<!-- Generated by scripts/utils/show_spk_result.py -->
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# RESULTS
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## Environments
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date: 2024-01-02 18:09:41.334841
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- python version: 3.9.16 (main, Mar 8 2023, 14:00:05) [GCC 11.2.0]
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- espnet version: 202310
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| | Mean | Std |
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|---|---|---|
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| Target | 8.1349 | 3.5908 |
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| Non-target | 2.3247 | 2.3247 |
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| Model name | EER(%) | minDCF |
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|---|---|---|
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| conf/tuning/train_ska_Vox12_emb192_torchmelspec_subcentertopk | 0.729 | 0.04574 |
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## SPK config
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meta.yaml
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files:
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model_file: save_exp/spk_train_ska_Vox12_emb192_torchmelspec_subcentertopk_raw_sp/9epoch.pth
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python: "3.9.16 (main, Mar 8 2023, 14:00:05) \n[GCC 11.2.0]"
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timestamp:
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torch: 2.0.1
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yaml_files:
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train_config: save_exp/spk_train_ska_Vox12_emb192_torchmelspec_subcentertopk_raw_sp/config.yaml
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files:
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model_file: save_exp/spk_train_ska_Vox12_emb192_torchmelspec_subcentertopk_raw_sp/9epoch.pth
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python: "3.9.16 (main, Mar 8 2023, 14:00:05) \n[GCC 11.2.0]"
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timestamp: 1704237029.904523
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torch: 2.0.1
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yaml_files:
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train_config: save_exp/spk_train_ska_Vox12_emb192_torchmelspec_subcentertopk_raw_sp/config.yaml
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save_exp/spk_train_ska_Vox12_emb192_torchmelspec_subcentertopk_raw_sp/RESULTS.md
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<!-- Generated by scripts/utils/show_spk_result.py -->
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# RESULTS
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## Environments
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date:
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- python version: 3.9.16 (main, Mar 8 2023, 14:00:05) [GCC 11.2.0]
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- espnet version: 202310
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| | Mean | Std |
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|---|---|---|
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| Target |
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| Non-target |
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| Model name | EER(%) | minDCF |
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|---|---|---|
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| conf/tuning/train_ska_Vox12_emb192_torchmelspec_subcentertopk | 0.
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<!-- Generated by scripts/utils/show_spk_result.py -->
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# RESULTS
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## Environments
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date: 2024-01-02 18:09:41.334841
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- python version: 3.9.16 (main, Mar 8 2023, 14:00:05) [GCC 11.2.0]
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- espnet version: 202310
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| | Mean | Std |
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|---|---|---|
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| Target | 8.1349 | 3.5908 |
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| Non-target | 2.3247 | 2.3247 |
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| Model name | EER(%) | minDCF |
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|---|---|---|
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| conf/tuning/train_ska_Vox12_emb192_torchmelspec_subcentertopk | 0.729 | 0.04574 |
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