Model release: v1

README.md

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+---
+tags:
+- asteroid
+- audio
+- ConvTasNet
+datasets:
+- DAMP-VSEP (English+Non-English training set)
+- Singing/Accompaniment Separation
+license: Restricted License
+---
+
+
+## Description:
+This model was trained by Gerardo Roa using the dampvsep recipe in Asteroid.
+It was trained on the singing/accompaniment task of the DAMP-VSEP dataset.
+
+
+## Training config:
+```yaml
+data:
+  channels: 1
+  emb_model: 'no'
+  metadata_path: metadata
+  mixture: remix
+  root_path: /fastdata/acp13gr/DAMP/DAMP-VSEP
+  sample_rate: 16000
+  train_set: english_nonenglish
+filterbank:
+  kernel_size: 20
+  n_filters: 256
+  stride: 10
+main_args:
+  exp_dir: exp/train_convtasnet_remix-no-0.0-english_nonenglish-0.0005-jade
+  help: null
+masknet:
+  bn_chan: 256
+  conv_kernel_size: 3
+  hid_chan: 512
+  mask_act: relu
+  n_blocks: 10
+  n_repeats: 4
+  n_src: 2
+  norm_type: gLN
+  skip_chan: 256
+optim:
+  lr: 0.0005
+  optimizer: adam
+  weight_decay: 0.0
+positional arguments: {}
+training:
+  batch_size: 7
+  early_stop: true
+  epochs: 50
+  half_lr: true
+  loss_alpha: 0.0
+  num_workers: 10
+```
+
+
+## Results:
+```yaml
+"si_sdr": 15.111802516750586,
+"si_sdr_imp": 15.178209807687663,
+"si_sdr_s0": 12.160261214703553,
+"si_sdr_s0_imp": 17.434593619085675,
+"si_sdr_s1": 18.063343818797623,
+"si_sdr_s1_imp": 12.92182599628965,
+"sdr": 15.959722569460281,
+"sdr_imp": 14.927002467087567,
+"sdr_s0": 13.270412028426595,
+"sdr_s0_imp": 16.45867572657551,
+"sdr_s1": 18.64903311049397,
+"sdr_s1_imp": 13.39532920759962,
+"sir": 23.935932341084754,
+"sir_imp": 22.903212238712012,
+"sir_s0": 22.30777879911744,
+"sir_s0_imp": 25.49604249726635,
+"sir_s1": 25.56408588305207,
+"sir_s1_imp": 20.310381980157665,
+"sar": 17.174899162445882,
+"sar_imp": -134.47377304178818,
+"sar_s0": 14.268071153965913,
+"sar_s0_imp": -137.38060105026818,
+"sar_s1": 20.081727170925856,
+"sar_s1_imp": -131.56694503330817,
+"stoi": 0.7746496376326059,
+"stoi_imp": 0.19613735629114643,
+"stoi_s0": 0.6611376621212413,
+"stoi_s0_imp": 0.21162695175464794,
+"stoi_s1": 0.8881616131439705,
+"stoi_s1_imp": 0.1806477608276449
+```
+
+
+## License notice:
+
+** This is important, please fill it, if you need help, you can ask on Asteroid's slack.**
+
+This work "ConvTasNet_DAMPVSEP_EnglishNonEnglish_baseline"
+is a derivative of [DAMP-VSEP](https://zenodo.org/record/3553059) by
+[Smule, Inc](https://www.smule.com/),
+used under [Reastricte License](https://zenodo.org/record/3553059).
+"ConvTasNet_DAMPVSEP_EnglishNonEnglish_baseline"
+is licensed under [Attribution-ShareAlike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/)
+by Gerardo Roa.

pytorch.bin

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