Downloads · 30 days
0
ConvTasNet_Libri1Mix_enhsingle_16k
osanseviero/ConvTasNet_Libri1Mix_enhsingle_16k
ConvTasNet_Libri1Mix_enhsingle_16k is a audio-to-audio model from osanseviero. Use it for the audio-to-audio task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-sa-4.0.
Access
Public
Updated Sep 23, 2021
Repo size
20.1 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin20.1 MB · 100%
At a glance
- Task
- Audio-to-Audio
- License
- cc-by-sa-4.0
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Sep 23, 2021
- SHA
- 4601b967
Datasets
Model card
From the Hugging Face model README
Clone from Asteroid model JorisCos/ConvTasNet_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: 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
- Task
- Audio-to-Audio
- License
- cc-by-sa-4.0
- Created
- Mar 2, 2022
- Updated
- Sep 23, 2021