Julien Chaumond
commited on
Commit
·
efc58bf
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Parent(s):
7255565
initial import from https://zenodo.org/record/3903795#.X8pMBRNKjUI
Browse files- README.md +78 -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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datasets:
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- wham
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- sep_clean
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inference: false
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---
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## Asteroid model `mpariente/DPRNNTasNet(ks=16)_WHAM!_sepclean`
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⚠️ Imported from https://zenodo.org/record/3903795#.X8pMBRNKjUI
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This model was trained by Manuel Pariente using the wham/DPRNN recipe in Asteroid. It was trained on the sep_clean task of the WHAM! dataset.
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### Demo: How to use in Asteroid
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```python
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# coming soon
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```
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### Training config
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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: 16
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- n_filters: 64
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- stride: 8
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- main_args:
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- exp_dir: exp/train_dprnn_ks16/
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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: 100
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- dropout: 0
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- hid_size: 128
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- hop_size: 50
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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: 6
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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: 6
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#### Results
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- `si_sdr`: 18.227683982688003
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- `si_sdr_imp`: 18.22883576588251
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- `sdr`: 18.617789605060587
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- `sdr_imp`: 18.466745426438173
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- `sir`: 29.22773720052717
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- `sir_imp`: 29.07669302190474
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- `sar`: 19.116352171914485
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- `sar_imp`: -130.06009796503054
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- `stoi`: 0.9722025377865715
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- `stoi_imp`: 0.23415680987800583
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:97cab56c48c6b86a2bcbd32a8b7ca8ac9b9fc5b2621c991f26f633d7cf14c182
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size 14644200
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