Bit rate reduction of the MELP coder using Lempel-Ziv segment quantization

Minoru Kohata, Motoyuki Suzuki, Akinori Ito, Shozo Makino

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

We previously proposed a new segment quantization method called Lempel-Ziv segment quantization (LZSQ), which is a modified version of Lempel-Ziv (LZ) coding that can be applied to a continuous information source. In the present paper, LZSQ is applied to the mixed excitation linear prediction (MELP) coder, which is a standardized vocoder-type speech coder that operates at 2.4 kbit/s, in order to reduce the bit rate to below 2.4 kbit/s, while preserving the quality of the coded speech. LZSQ is applied to six coding parameters of the MELP coder to reduce the total bit rate as much as possible. As a result, the total bit rate of the modified MELP coder was reduced to 1.57 kbit/s, while the subjective quality of the modified MELP coder is equivalent to that of the previous MELP coder.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
Pages5240-5243
Number of pages4
DOIs
Publication statusPublished - 2011 Aug 18
Event36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Prague, Czech Republic
Duration: 2011 May 222011 May 27

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
CountryCzech Republic
CityPrague
Period11/5/2211/5/27

Keywords

  • Lempel-Ziv algorithm
  • Low bit speech coding
  • MELP coder
  • Temporal redundancy

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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