Description: This model was trained by Joris Cosentino using the librimix recipe in Asteroid. It was trained on the sep_noisy task of the LibriMix dataset. Training config: data: n_src: 2 sample_rate: 8000 segment: 3 task: sep_noisy 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: 4 Results: si_sdr: 9.944424856077259 si_sdr_imp: 11.939395359731192 sdr: 10.701526190782072 sdr_imp: 12.481757547845662 sir: 22.633644975545575 sir_imp: 22.45666740833025 sar: 11.131644100944868 sar_imp: 4.248489589311784 stoi: 0.852048619949357 stoi_imp: 0.2071994899565506 License notice: This work "ConvTasNet_Librisep_noisyMix_sepnoisy" 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_Librisep_noisyMix_sepnoisy" is licensed under Attribution-ShareAlike 3.0 Unported by Joris Cosentino.