模型:
JorisCos/DPTNet_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: 16 n_filters: 64 stride: 8 masknet: bidirectional: true chunk_size: 100 dropout: 0 ff_activation: relu ff_hid: 256 hop_size: 50 in_chan: 64 mask_act: sigmoid n_repeats: 2 n_src: 1 norm_type: gLN out_chan: 64 optim: lr: 0.001 optimizer: adam weight_decay: 1.0e-05 scheduler: d_model: 64 steps_per_epoch: 10000 training: batch_size: 4 early_stop: true epochs: 200 gradient_clipping: 5 half_lr: true num_workers: 4
Results:
On Libri1Mix min test set :
si_sdr: 14.829670037349064 si_sdr_imp: 11.379888731489366 sdr: 15.395712644737149 sdr_imp: 11.893049845524112 sir: Infinity sir_imp: NaN sar: 15.395712644737149 sar_imp: 11.893049845524112 stoi: 0.9301948391058859 stoi_imp: 0.13427501556534832
License notice:
This work "DPTNet_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). "DPTNet_Libri1Mix_enhsignle_16k" is licensed under Attribution-ShareAlike 3.0 Unported by Joris Cosentino