LiteSwitchCodec: Neural speech coding with token space quantization and causal U-Net for personalized real-time communications
- DOI
- 10.1016/j.neunet.2026.109445
- Published
- 2027-01
- Container
- Neural Networks
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109445,
title = {LiteSwitchCodec: Neural speech coding with token space quantization and causal U-Net for personalized real-time communications},
author = {Xusheng Yang and Wei Xiao and Zixiang Wan and Meng Ge and Shidong Shang and Yuexian Zou},
year = {2027},
journal = {Neural Networks},
doi = {10.1016/j.neunet.2026.109445},
url = {https://doi.org/10.1016/j.neunet.2026.109445}
}RIS
TY - JOUR TI - LiteSwitchCodec: Neural speech coding with token space quantization and causal U-Net for personalized real-time communications AU - Xusheng Yang AU - Wei Xiao AU - Zixiang Wan AU - Meng Ge AU - Shidong Shang AU - Yuexian Zou PY - 2027 JO - Neural Networks DO - 10.1016/j.neunet.2026.109445 UR - https://doi.org/10.1016/j.neunet.2026.109445 ER -
APA
Yang, X., Xiao, W., Wan, Z., Ge, M., Shang, S., & Zou, Y. (2027). LiteSwitchCodec: Neural speech coding with token space quantization and causal U-Net for personalized real-time communications. Neural Networks. https://doi.org/10.1016/j.neunet.2026.109445
Source records
- crossref · retrieved 2026-09-26T13:02:22.097Z