模型:
JorisCos/ConvTasNet_Libri1Mix_enhsingle_16k
任务:
音频到音频许可:
cc-by-sa-4.0Description:
This model was trained by Joris Cosentino using the librimix recipe in Asteroid . It was trained on the enh_single task of the Libri1Mix dataset.
Training config:
data: n_src: 1 sample_rate: 16000 segment: 3 task: enh_single train_dir: data/wav16k/min/train-360 valid_dir: data/wav16k/min/dev filterbank: kernel_size: 32 n_filters: 512 stride: 16 masknet: bn_chan: 128 hid_chan: 512 mask_act: relu n_blocks: 8 n_repeats: 3 n_src: 1 skip_chan: 128 optim: lr: 0.001 optimizer: adam weight_decay: 0.0 training: batch_size: 6 early_stop: true epochs: 200 half_lr: true num_workers: 4
Results:
On Libri1Mix min test set :
si_sdr: 14.743051006476085 si_sdr_imp: 11.293269700616385 sdr: 15.300522933671061 sdr_imp: 11.797860134458015 sir: Infinity sir_imp: NaN sar: 15.300522933671061 sar_imp: 11.797860134458015 stoi: 0.9310514162434267 stoi_imp: 0.13513159270288563
License notice:
This work "ConvTasNet_Libri1Mix_enhsignle_16k" 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_enhsignle_16k" is licensed under Attribution-ShareAlike 3.0 Unported by Joris Cosentino