模型:
mpariente/ConvTasNet_WHAM_sepclean
任务:
许可:
从 Zenodo 导入
该模型是由Manuel Pariente使用wham/ConvTasNet配方在 Asteroid 上训练的。它是在WHAM!数据集的sep_clean任务上进行训练的。
data:
n_src: 2
mode: min
nondefault_nsrc: None
sample_rate: 8000
segment: 3
task: sep_clean
train_dir: data/wav8k/min/tr/
valid_dir: data/wav8k/min/cv/
filterbank:
kernel_size: 16
n_filters: 512
stride: 8
main_args:
exp_dir: exp/wham
gpus: -1
help: None
masknet:
bn_chan: 128
hid_chan: 512
mask_act: relu
n_blocks: 8
n_repeats: 3
n_src: 2
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
si_sdr: 16.21326632846293 si_sdr_imp: 16.21441705664987 sdr: 16.615180021738933 sdr_imp: 16.464137807433435 sir: 26.860503975131923 sir_imp: 26.709461760826414 sar: 17.18312813480803 sar_imp: -131.99332048277296 stoi: 0.9619940905157323 stoi_imp: 0.2239480672473015
此作品"ConvTasNet_WHAM!_sepclean"是基于 CSR-I (WSJ0) Complete 由 LDC 创作的,仅用于 LDC User Agreement for Non-Members (仅限研究)。“ConvTasNet_WHAM!_sepclean”由Manuel Pariente根据 Attribution-ShareAlike 3.0 Unported 许可证授权。