Complexity Scalability for ACELP and MP-MLQ Speech Coders

Fu-Kun CHEN  Jar-Ferr YANG  Yu-Pin LIN  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E85-D   No.1   pp.255-263
Publication Date: 2002/01/01
Online ISSN: 
DOI: 
Print ISSN: 0916-8532
Type of Manuscript: PAPER
Category: Speech and Hearing
Keyword: 
speech coding,  ACELP,  MP-MLQ,  complexity scalability,  

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Summary: 
For multimedia communications, the computational scalability of a multimedia codec is required to match with different working platforms and integrated services of media sources. In this paper, two condensed stochastic codebook search approaches are proposed to progressively reduce the computation required for the algebraic code excited linear predictive (ACELP) and multi-pulse maximum likelihood quantization (MP-MLQ) coders. By reducing the candidates of the codebook before search procedure, the proposed methods can effectively diminish the computation required for the ITU-T G.723.1 dual rate speech coder. Simulation results show that the proposed methods can save over 50 percent for the stochastic codebook search with perceptually intangible degradation in speech quality.