SPEECH CLASSIFICATION EMBEDDED IN ADAPTIVE CODEBOOK SEARCH FOR LOW BIT-RATE CELP CODING

被引：0
|
作者：
KUO, CC
JEAN, FR
WANG, HC
机构：
[1] Department of Electrical Engineering, National Tsing Hua University
来源：
IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING | 1995年 / 3卷 / 01期
关键词：
D O I：
10.1109/89.365377
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
This correspondence proposes a new CELP coding method which embeds speech classification in adaptive codebook search. This approach can retain the synthesized speech quality at bit-rates below 4 kb/s. A pitch analyzer is designed to classify each frame by its periodicity, and with a finite-state machine, one of four states is determined. Then the adaptive codebook search scheme is switched according to the state. Simulation results show that higher SEGSNR and lower computation complexity can be achieved, and the pitch contour of the synthesized speech is smoother than that produced by conventional CELP coders.
引用
收藏
页码：94 / 98
页数：5
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