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--- |
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tags: |
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- asteroid |
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- audio |
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- ConvTasNet |
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datasets: |
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- Libri2Mix |
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- sep_noisy |
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license: CC BY-NC 4.0 |
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inference: false |
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--- |
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## Asteroid model `JorisCos/ConvTasNet_Libri2Mix_sepnoisy_16k` |
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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 `sep_noisy` task of the Libri2Mix dataset. |
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Training config: |
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```yml |
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data: |
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n_src: 2 |
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sample_rate: 16000 |
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segment: 3 |
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task: sep_noisy |
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train_dir: data/wav16k/min/train-360 |
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valid_dir: data/wav16k/min/dev |
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filterbank: |
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kernel_size: 32 |
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n_filters: 512 |
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stride: 16 |
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masknet: |
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bn_chan: 128 |
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hid_chan: 512 |
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mask_act: relu |
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n_blocks: 8 |
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n_repeats: 3 |
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n_src: 2 |
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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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training: |
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batch_size: 6 |
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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 Libri2Mix min test set : |
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```yml |
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'si_sdr': 10.617130949793383, |
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'si_sdr_imp': 12.551811412989263, |
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'sdr': 11.231867464482065, |
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'sdr_imp': 13.059765009747343, |
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'sir': 24.461138352988346, |
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'sir_imp': 24.371856452307703, |
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'sar': 11.5649982725426, |
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'sar_imp': 4.662525705768228, |
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'stoi': 0.8701085138712695, |
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'stoi_imp': 0.2245418019822898 |
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``` |
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License notice: |
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This work "ConvTasNet_Libri2Mix_sepnoisy_16k" is a derivative of LibriSpeech ASR corpus by Vassil Panayotov, |
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used under CC BY 4.0; of The WSJ0 Hipster Ambient Mixtures |
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dataset by Whisper.ai, used under CC BY-NC 4.0 (Research only). |
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"ConvTasNet_Libri2Mix_sepnoisy_16k" is licensed under Attribution-ShareAlike 3.0 Unported by Joris Cosentino |
