add model and readme
Browse files- README.md +71 -0
- pytorch_model.bin +3 -0
README.md
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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
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:2fa7cc10c60e2bc94708ac9d8ec546baea1bb466738bb89adc89844d07a4e242
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size 12765410
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