Vector Quantization for LSF Coding and Codebook Storage

Ya Li; Xiaoqun Zhao

10th EAI International Conference on Communications and Networking in China

Research Article

Vector Quantization for LSF Coding and Codebook Storage

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/eai.15-8-2015.2260705,
    author={Ya Li and Xiaoqun Zhao},
    title={Vector Quantization for LSF Coding and Codebook Storage},
    proceedings={10th EAI International Conference on Communications and Networking in China},
    publisher={IEEE},
    proceedings_a={CHINACOM},
    year={2015},
    month={9},
    keywords={speech coding;line spectral frequency;differential split vector quantization;codebook storage},
    doi={10.4108/eai.15-8-2015.2260705}
}

Ya Li
Xiaoqun Zhao
Year: 2015
Vector Quantization for LSF Coding and Codebook Storage
CHINACOM
IEEE
DOI: 10.4108/eai.15-8-2015.2260705

Ya Li¹, Xiaoqun Zhao¹^,*

1: Tongji University

*Contact email: Zhao_xiaoqun@tongji.edu.cn

Abstract

This paper presents an effective vector quantizer for very low bit rate speech coding. Based on vector quantization for line spectral frequency (LSF) parameters, it reduces the storage and searching complexity of codebooks. In this paper, the mean of LSF parameters is removed and then differential split vector quantization method is applied for vector quantization. To reduce the storage and searching complexity of codebooks largely, the storage structure of code word is optimized and code precision is lowed. Experimental results demonstrate that the average spectral distortion is less than 1dB, and spectral leakage is not more than 4dB. The quantizer meets the basic requirements of transparent quantization well.

Keywords: speech coding;line spectral frequency;differential split vector quantization;codebook storage

Published: 2015-09-21
Publisher: IEEE

: http://dx.doi.org/10.4108/eai.15-8-2015.2260705