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--- |
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tags: |
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- asteroid |
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- audio |
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- VADNet |
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- VAD |
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- Voice Activity Detection |
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datasets: |
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- LibriVAD |
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license: cc-by-sa-4.0 |
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--- |
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## Asteroid model `JorisCos/VAD_Net` |
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Description: |
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This model was trained by Joris Cosentino using the librimix recipe in [Asteroid](https://github.com/asteroid-team/asteroid). |
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It was trained on the `enh_single` task of the Libri1Mix dataset. |
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Training config: |
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```yml |
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data: |
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segment: 3 |
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train_dir: /home/jcosentino/VAD_dataset/metadata/sets/train.json |
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valid_dir: /home/jcosentino/VAD_dataset/metadata/sets/dev.json |
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filterbank: |
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kernel_size: 16 |
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n_filters: 512 |
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stride: 8 |
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main_args: |
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exp_dir: exp/full_not_causal_f1/ |
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help: null |
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masknet: |
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bn_chan: 128 |
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causal: false |
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hid_chan: 512 |
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mask_act: relu |
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n_blocks: 3 |
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n_repeats: 5 |
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skip_chan: 128 |
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optim: |
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lr: 0.001 |
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optimizer: adam |
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weight_decay: 0.0 |
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positional arguments: {} |
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training: |
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batch_size: 8 |
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early_stop: true |
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epochs: 200 |
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half_lr: true |
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num_workers: 4 |
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``` |
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Results: |
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On LibriVAD min test set : |
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```yml |
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accuracy: 0.8196149023502931, |
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precision: 0.8305009048356607, |
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recall: 0.8869202491310206, |
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f1_score: 0.8426184545700124 |
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``` |
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License notice: |
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This work "VAD_Net" is a derivative of [LibriSpeech ASR corpus](http://www.openslr.org/12) by Vassil Panayotov, |
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used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/); of The [DNS challenge](https://github.com/microsoft/DNS-Challenge) noises, [Attribution-ShareAlike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/). |
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"VAD_Net" is licensed under [Attribution-ShareAlike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/) by Joris Cosentino |
