abylouw / TiCodec

TiCodec

PyTorch Implementation of Fewer-token Neural Speech Codec with Time-invariant Codes.

Demo Pages

https://y-ren16.github.io/TiCodec is the demo page of the paper 'Fewer-token Neural Speech Codec with Time-invariant Codes'.

Quick Started

Dependencies

pip install -r requirement.txt

Install visqol for calculating objective metrics.

dataset preparation

Gengenerate ./Lib_resources/*/*.lst for training.

.
├── Lib_resources
│   └── LibriTTS
│       ├── dev.lst
│       ├── test.lst
│       └── train.lst

Put *.wav in ./egs/Paper_Data/GT/*/*.wav for metrics.

.
├── Paper_Data
│   ├── GEN
│   └── GT

Train

cd TiCodec/egs/TiCodec-24k-320d
bash start_conv_1g1r_8g3k1s_cos_from_head.sh
bash start_conv_1g2r_8g3k1s_cos_from_head.sh
bash start_conv_1g4r_8g3k1s_cos_from_head.sh

Test

test_conv_1g1r_8g3k1s_cos_from_head.sh
test_conv_1g2r_8g3k1s_cos_from_head.sh
test_conv_1g4r_8g3k1s_cos_from_head.sh

Metrics

python metrics.py

Acknowledgements

This implementation uses parts of the code from the following Github repos: AcademiCodec

Citations

If you find this code useful in your research, please consider citing:

@article{ren2023fewer,
  title={Fewer-token Neural Speech Codec with Time-invariant Codes},
  author={Ren, Yong and Wang, Tao and Yi, Jiangyan and Xu, Le and Tao, Jianhua and Zhang, Chuyuan and Zhou, Junzuo},
  journal={arXiv preprint arXiv:2310.00014},
  year={2023}
}