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brijmohan/ConvTasNet_Libri1Mix_enhsingle

Authors: Brij Mohan Lal Srivastava;

brijmohan/ConvTasNet_Libri1Mix_enhsingle

Abstract

Description: This model was trained by Brij Mohan Lal Srivastava using the librimix/ConvTasNet recipe in Asteroid. It was trained on the enh_single task of the Libri1Mix dataset. Training config:data: n_src: 1sample_rate: 8000segment: 3task: enh_singletrain_dir: data/wav8k/min/train-360valid_dir: data/wav8k/min/devfilterbank: kernel_size: 16n_filters: 512stride: 8main_args: exp_dir: exp/train_convtasnet_vpchelp: Nonemasknet: bn_chan: 128hid_chan: 512mask_act: relun_blocks: 8n_repeats: 3n_src: 1skip_chan: 128optim: lr: 0.001optimizer: adamweight_decay: 0.0positional arguments: training: batch_size: 24early_stop: Trueepochs: 200half_lr: Truenum_workers: 4 Results:si_sdr: 14.783675142685572 si_sdr_imp: 11.464625198953202 sdr: 15.497505907983102 sdr_imp: 12.07230150154914 sir: inf sir_imp: nan sar: 15.497505907983102 sar_imp: 12.07230150154914 stoi: 0.9270030254700518 stoi_imp: 0.1320547197597893 License notice:This work "ConvTasNet_Libri1Mix_enhsingle" is a derivative of LibriSpeech ASR corpus by Vassil Panayotov, used under CC BY 4.0; of The WSJ0 Hipster Ambient Mixtures dataset by Whisper.ai, used under CC BY-NC 4.0 (Research only). "ConvTasNet_Libri1Mix_enhsingle" is licensed under Attribution-ShareAlike 3.0 Unported by Brij Mohan Lal Srivastava.

Keywords

ConvTasNet, Libri1Mix, Asteroid, audio source separation, pretrained model, enh_single

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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