A scalable MELP coder based on embedded quantization of line spectral frequencies

Author

Chu, Wai C.

Author_Institution

Media Lab., DoCoMo USA Lab., San Jose, CA, USA

fYear

2005

fDate

13-16 Dec. 2005

Firstpage

29

Lastpage

32

Abstract

We modify the federal standard mixed-excitation linear prediction (MELP) speech coder by replacing its multistage vector quantizer (MSVQ) for line spectral frequencies (LSF) with a multistage tree-structured vector quantizer (MTVQ), which is embedded in nature. We show that the modified coder becomes bit-rate scalable with gradual change in quality when the bit-rate varies from 1288.9 bps to 2400 bps at step of 44.4 bps. The same approach can be applied to other linear prediction (LP) based speech coder to achieve fine-grain scalability.

Keywords

linear predictive coding; speech coding; vector quantisation; 1288.9 to 2400 bit/s; 44.4 bit/s; embedded quantization; line spectral frequencies; mixed-excitation linear prediction; multistage tree-structured vector quantizer; scalable MELP coder; speech coder; Binary trees; Code standards; Decoding; Frequency; Laboratories; MPEG 4 Standard; Scalability; Speech coding; Telecommunication traffic; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Signal Processing and Communication Systems, 2005. ISPACS 2005. Proceedings of 2005 International Symposium on

Print_ISBN

0-7803-9266-3

Type

conf

DOI

10.1109/ISPACS.2005.1595338

Filename

1595338