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DPRNNTasNet-ks2_Libri1Mix_enhsingle_16k
JorisCos/DPRNNTasNet-ks2_Libri1Mix_enhsingle_16k
DPRNNTasNet-ks2_Libri1Mix_enhsingle_16k is a audio-to-audio model from JorisCos. Use it for the audio-to-audio task on the model card, and read the license before you ship it in a product. It is set up for asteroid. The card lists the license as cc-by-sa-4.0.
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At a glance
- Task
- Audio-to-Audio
- Library
- asteroid
- License
- cc-by-sa-4.0
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Sep 23, 2021
- SHA
- e37a839c
Datasets
Model card
From the Hugging Face model README
Asteroid model JorisCos/DPRNNTasNet_Libri1Mix_enhsignle_16k
Description:
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: 1
task: enh_single
train_dir: data/wav16k/min/train-360
valid_dir: data/wav16k/min/dev
filterbank:
kernel_size: 2
n_filters: 64
stride: 1
masknet:
bidirectional: true
bn_chan: 128
chunk_size: 250
dropout: 0
hid_size: 128
hop_size: 125
in_chan: 64
mask_act: sigmoid
n_repeats: 6
n_src: 1
out_chan: 64
optim:
lr: 0.001
optimizer: adam
weight_decay: 1.0e-05
training:
batch_size: 2
early_stop: true
epochs: 200
gradient_clipping: 5
half_lr: true
num_workers: 4
Results:
On Libri1Mix min test set :
si_sdr: 14.7228101708889
si_sdr_imp: 11.2730288650292
sdr: 15.35661405197161
sdr_imp: 11.853951252758595
sir: Infinity
sir_imp: NaN
sar: 15.35661405197161
sar_imp: 11.853951252758595
stoi: 0.9300461826351578
stoi_imp: 0.13412635909461715
License notice:
This work "DPRNNTasNet_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). "DPRNNTasNet_Libri1Mix_enhsignle_16k" is licensed under Attribution-ShareAlike 3.0 Unported by Joris Cosentino
- Task
- Audio-to-Audio
- Library
- asteroid
- License
- cc-by-sa-4.0
- Created
- Mar 2, 2022
- Updated
- Sep 23, 2021