A CHAIN VQ CLUSTERING-ALGORITHM FOR REALTIME SPEECH RECOGNITION

被引：1
|
作者：
CHEN, XX
CAI, CN
机构：
[1] Department of Telecommunication Engineering, Beijing University of Posts and Telecommunications, Beijing
来源：
PATTERN RECOGNITION LETTERS | 1993年 / 14卷 / 03期
基金：
中国国家自然科学基金;
关键词：
SPEECH RECOGNITION; CLUSTERING ALGORITHM; VECTOR QUANTIZATION; PATTERN MATCHING;
D O I：
10.1016/0167-8655(93)90076-P
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a chain vector-quantization clustering (CVQC) algorithm for realtime speech recognition. In comparison with the conventional dynamic time warping (DTW) and vector-quantization (VQ) methods, it delivers faster training and recognition speeds and requires smaller memory locations.
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页码：229 / 235
页数：7
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