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- 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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- ConvTasNet
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datasets:
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- Libri1Mix
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- enh_single
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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_Libri1Mix_enhsignle_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 `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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n_src: 1
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sample_rate: 16000
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segment: 3
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task: enh_single
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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: 1
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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 Libri1Mix min test set :
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```yml
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si_sdr: 14.743051006476085,
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si_sdr_imp: 11.293269700616385,
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sdr: 15.300522933671061,
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sdr_imp: 11.797860134458015,
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sir: Infinity,
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sir_imp: NaN,
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sar: 15.300522933671061,
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sar_imp: 11.797860134458015,
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stoi: 0.9310514162434267,
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stoi_imp: 0.13513159270288563
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```
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License notice:
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This work "ConvTasNet_Libri1Mix_enhsignle_16k" 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 WSJ0 Hipster Ambient Mixtures
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dataset by [Whisper.ai](http://wham.whisper.ai/), used under [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) (Research only).
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"ConvTasNet_Libri1Mix_enhsignle_16k" 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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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:dd8ddefe95a35761f8a48643a618eba908572d04d33208a8ed5451fb5a4378d0
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size 20130704
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