| 小波变换及其在语音信号处理中的应用 |
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| 引用本文： | 李硕,李冰洋,王蜜.小波变换及其在语音信号处理中的应用[J].哈尔滨师范大学自然科学学报,2006,22(5):21-24. |
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| 作者姓名： | 李硕 李冰洋 王蜜 |
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| 作者单位： | 1. 东北林业大学
2. 哈尔滨工程大学 |
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| 摘 要： | 人们为了了解自然界的规律,或是为了解决工程中的一些问题,需要对各种各样的信号进行分析,在小波变换出现以前,应用最广泛的是傅立叶变换.但是在利用傅立叶变换分析信号时,存在着某些缺陷.小波变换基于海森堡测不准原理解决了局部时间信号分析的难题,发展了信号分析的方法,成为了当代信号分析的主要工具之一.由于语音信号的复杂性,以及在某些方面与小波变换的相似性,使小波变换在语音信号处理有着很广泛的应用.本文对小波变换及其在语音信号处理中的应用进行了简要的综述.
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| 关 键 词： | 连续小波变换 离散小波变换 基音检测 语音增强 语音信号 |
| 修稿时间： | 2006年5月7日 |
WAVELET TRANSFORM AND ITS APPLICATION IN ANALYZING SPEECH SIGNALS |
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| Li Shuo,Li Bingyang,Wang Mi.WAVELET TRANSFORM AND ITS APPLICATION IN ANALYZING SPEECH SIGNALS[J].Natural Science Journal of Harbin Normal University,2006,22(5):21-24. |
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| Authors: | Li Shuo Li Bingyang Wang Mi |
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| Institution: | Li Shuo(Northeast Firestry University) Li Bingyang(Harbin Engineeing University) Wang Mi(Northeast Firestry University) |
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| Abstract: | In order to understand the law of nature or solve some engineering problems,people should analyse kinds of signals.Before wavelet transform is in place,Fourier transform is utilized most widely.However,using Fourier transform to deal with signals has some disadvantages.Based on Heisenberg's Uncertainty Principle,wavelet transform solves the difficulty of analyzing the local time signals and develops the method of analyzing signals.It has become one of main methods of analyzing signals.Because of the complexity of speech signals and some properties similar to wavelet transform,wavelet transform is used widely in analyzing speech signals.This paper focuses on intreducing wavelet transform and its application in analyzing speech signals. |
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| Keywords: | Continuous wavelet transform Discrete wavelet transform Pitch detection Speech enforcement Speech signal |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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