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Description: This model was trained by Joris Cosentino using the librimix recipe in Asteroid. It was trained on the sep_clean task of the LibriMix dataset. Training config: data: n_src: 2 sample_rate: 8000 segment: 3 task: sep_clean train_dir: data/wav8k/min/train-360 valid_dir: data/wav8k/min/dev filterbank: kernel_size: 16 n_filters: 512 stride: 8 masknet: bn_chan: 128 hid_chan: 512 mask_act: relu n_blocks: 8 n_repeats: 3 skip_chan: 128 optim: lr: 0.001 optimizer: adam weight_decay: 0.0 positional arguments: training: batch_size: 24 early_stop: True epochs: 200 half_lr: True num_workers: 2 Results: si_sdr: 14.764543634468069 si_sdr_imp: 14.764029375607246 sdr: 15.29337970745095 sdr_imp: 15.114146605113111 sir: 24.092904661115366 sir_imp: 23.913669683141528 sar: 16.06055906916849 sar_imp: -51.980784441287454 stoi: 0.9311142440593033 stoi_imp: 0.21817376142710482 License notice: This work "ConvTasNet_Librisep_cleanMix_sepclean" is a derivative of LibriSpeech ASR corpus by Vassil Panayotov, used under CC BY 4.0. "ConvTasNet_Librisep_cleanMix_sepclean" is licensed under Attribution-ShareAlike 3.0 Unported by Cosentino Joris.
ConvTasNet, Asteroid, audio source separation, sep_clean, pretrained model, Librisep_cleanMix
ConvTasNet, Asteroid, audio source separation, sep_clean, pretrained model, Librisep_cleanMix
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