Create README.md
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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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- DPTNet
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- audio-to-audio
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datasets:
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- Libri1Mix
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- enh_single
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license: cc-by-sa-4.0
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---
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## Asteroid model `cankeles/DPTNet_WHAMR_enhsignle_16k`
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Description:
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This model was trained by M. Can Keleş 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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mode: min
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nondefault_nsrc: null
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sample_rate: 16000
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segment: 2.0
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task: enh_single
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train_dir: wav16k/min/tr/
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valid_dir: wav16k/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/tmp
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help: null
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masknet:
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bidirectional: true
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chunk_size: 100
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dropout: 0
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ff_activation: relu
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ff_hid: 256
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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: 2
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n_src: 1
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norm_type: gLN
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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: 1.0e-05
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positional arguments: {}
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scheduler:
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d_model: 64
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steps_per_epoch: 10000
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training:
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batch_size: 4
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early_stop: true
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epochs: 60
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gradient_clipping: 5
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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 custom min test set :
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```yml
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'sar': 12.853384266251018,
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'sar_imp': 8.950332361953906,
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'sdr': 12.853384266251018,
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'sdr_imp': 8.950332361953906,
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'si_sdr': 12.247012621312548,
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'si_sdr_imp': 8.429646186633407,
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'sir': inf,
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'sir_imp': nan,
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'stoi': 0.9022338865380519,
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'stoi_imp': 0.09735707619500522
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```
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