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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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- DPRNNTasNet
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datasets:
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- wham
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- sep_clean
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license: cc-by-sa-3.0
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inference: false
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---
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## Asteroid model `mpariente/DPRNNTasNet-ks2_WHAM_sepclean`
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Imported from [Zenodo](https://zenodo.org/record/3862942)
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### Description:
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This model was trained by Manuel Pariente
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using the wham/DPRNN recipe in [Asteroid](https://github.com/asteroid-team/asteroid).
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It was trained on the `sep_clean` task of the WHAM! dataset.
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### Training config:
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```yaml
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data:
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mode: min
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nondefault_nsrc: None
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sample_rate: 8000
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segment: 2.0
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task: sep_clean
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train_dir: data/wav8k/min/tr
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valid_dir: data/wav8k/min/cv
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filterbank:
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kernel_size: 2
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n_filters: 64
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stride: 1
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main_args:
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exp_dir: exp/train_dprnn_new/
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gpus: -1
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help: None
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masknet:
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bidirectional: True
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bn_chan: 128
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chunk_size: 250
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dropout: 0
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hid_size: 128
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hop_size: 125
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in_chan: 64
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mask_act: sigmoid
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n_repeats: 6
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n_src: 2
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out_chan: 64
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optim:
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lr: 0.001
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optimizer: adam
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weight_decay: 1e-05
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positional arguments:
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training:
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batch_size: 3
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early_stop: True
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epochs: 200
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gradient_clipping: 5
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half_lr: True
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num_workers: 8
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```
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### Results:
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```yaml
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si_sdr: 19.316743490695334
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si_sdr_imp: 19.317895273889842
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sdr: 19.68085347190952
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sdr_imp: 19.5298092932871
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sir: 30.362213998701232
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sir_imp: 30.21116982007881
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sar: 20.15553251343315
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sar_imp: -129.02091762351188
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stoi: 0.97772664309074
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stoi_imp: 0.23968091518217424
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```
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### License notice:
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This work "DPRNNTasNet-ks2_WHAM_sepclean" is a derivative of [CSR-I (WSJ0) Complete](https://catalog.ldc.upenn.edu/LDC93S6A)
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by [LDC](https://www.ldc.upenn.edu/), used under [LDC User Agreement for
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Non-Members](https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf) (Research only).
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"DPRNNTasNet-ks2_WHAM_sepclean" is licensed under [Attribution-ShareAlike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/)
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by Manuel Pariente.
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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:cc1f1fecf24ea3e486521029dc0e1444686bd4b6fdf9715e7757936cbd9ffdf6
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size 14664381
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