Wavelet transforms for speech signal processing

被引：4
|
作者：
Wang, JF [1 ]
Chen, SH
Shyuu, JS
机构：
[1] Natl Cheng Kung Univ, Dept Elect Engn, Tainan 701, Taiwan
[2] Natl Cheng Kung Univ, Dept Comp Sci & Informat Engn, Tainan 701, Taiwan
来源：
JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS | 1999年 / 22卷 / 05期
关键词：
wavelet transform; pitch detection; C/V segmentation; speech recognition;
D O I：
10.1080/02533839.1999.9670493
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The wavelet transform and its theory is one of the most exciting developments of the last decade. In fact, the wavelet transform has been developed independently for various different fields such as signal processing, image processing, audio and speech processing, communication, and mathematics. Due to the efficient time-frequency localization and the multiresolution characteristics of the wavelet representations, the wavelet transforms are quite suitable for processing non-stationary signals such as speech. In this paper, the wavelet transform and its theory will be first introduced, then comparisons between the wavelet transform and the classical short-time Fourier transform approach to signal analysis will be provided. In addition, applying wavelet transforms in determining pitch, and segmenting consonant / vowel (C/V) parts as well as speech recognition will be discussed in this paper.
引用
收藏
页码：549 / 560
页数：12
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