Speech recognition using fractals

被引：6
|
作者：
Bohez, ELJ [1 ]
Senevirathne, TR [1 ]
机构：
[1] Asian Inst Technol, Dept Mfg Syst Engn, Klongluang 12120, Pathumthani, Thailand
来源：
PATTERN RECOGNITION | 2001年 / 34卷 / 11期
关键词：
speech recognition; fractals; iterated function systems (IFS); clustering;
D O I：
10.1016/S0031-3203(00)00137-0
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The use of fractal theory for speech recognition is investigated. First, the possibility of using iterated function systems for speech recognition is discussed. Next, the use of fractal dimension for phoneme recognition and word segmentation is presented. A phoneme recognition method is presented based on fractal theory. Fractal dimension (FD) and iterated function system (IFS) parameters are investigated for word segmentation. The IFS matrices and the eigenvalues of the covariance matrix are proposed for phoneme recognition. (C) 2001 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：2227 / 2243
页数：17
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