模型:
Awais/Audio_Source_Separation
任务:
音频到音频许可:
cc-by-sa-4.0Imported from Zenodo
Description:
This model was trained by Joris Cosentino using the librimix recipe in Asteroid . It was trained on the sep_clean task of the Libri2Mix 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 training: batch_size: 24 early_stop: True epochs: 200 half_lr: True num_workers: 2
Results :
On Libri2Mix min test set :
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_Libri2Mix_sepclean_8k" is a derivative of LibriSpeech ASR corpus by Vassil Panayotov, used under CC BY 4.0 . "ConvTasNet_Libri2Mix_sepclean_8k" is licensed under Attribution-ShareAlike 3.0 Unported by Cosentino Joris.