Multi-frame Coding of LSF Parameters Using Block-Constrained Trellis Coded Vector Quantization
Yaxing Li, Shan Xu, Shengwu Xiong, Anna Zhu, Pengfei Duan and Yueming Ding
Abstract:
In this paper, the predictive block-constrained trellis coded vector quantization (BC-TCVQ) schemes are developed for quantization of multiple frames line spectral frequency (LSF) parameters. The consecutive LSF frames are interleaved to subvectors for trellis modeling. The predictive BC-TCVQ systems are then designed to encode multi-frame LSF parameters. The performance evaluation of proposed schemes is compared with the single-frame LSF encoding methods using multi-stage vector quantization (MSVQ) and predictive block-constrained trellis coded quantization (BC-TCQ), demonstrating significant reduction of bit rate for transparent coding. The developed multi-frame LSF quantization schemes show satisfactory performance even at very low encoding rate and thus can be efficiently applied to the speech coders with moderate delay.
Cite as: Li, Y., Xu, S., Xiong, S., Zhu, A., Duan, P., Ding, Y. (2018) Multi-frame Coding of LSF Parameters Using Block-Constrained Trellis Coded Vector Quantization. Proc. Interspeech 2018, 3558-3562, DOI: 10.21437/Interspeech.2018-2578.
BiBTeX Entry:
@inproceedings{Li2018,
author={Yaxing Li and Shan Xu and Shengwu Xiong and Anna Zhu and Pengfei Duan and Yueming Ding},
title={Multi-frame Coding of LSF Parameters Using Block-Constrained Trellis Coded Vector Quantization},
year=2018,
booktitle={Proc. Interspeech 2018},
pages={3558--3562},
doi={10.21437/Interspeech.2018-2578},
url={http://dx.doi.org/10.21437/Interspeech.2018-2578} }