语音信号的频谱及共振峰特征分析
摘要语音是人类交际的基本手段，随着信息科学的不断发展，语音信号处理已成为信息科学领域发展最快的一个重要分支，它对推动社会发展具有重要意义。
语音信号频域特征分析为语音识别的基础，语音可以被视为一个短时平稳信号，由于声道的共振效应，元音的频谱包含一系列的谐波，谐波构成的振幅能量组，称为共振峰。共振峰参数包括共振峰频率和频带宽度，这是用来区分不同的元音的重要的参数。不同的元音对应于一组不同的参数，可以用前3个共振峰区分不同的元音。本文对语音信号进行处理分析，利用短时傅里叶变换获取语音信号的频谱，并根据频谱曲线进行共振峰分析，实验结果表明根据得到的频谱，同一元音背景下不同说话人前3个主要的共振峰频率及宽度，元音与共振峰参数之间有对应关系。75480
毕业论文关键词 语音信号 短时傅里叶变换 频谱 共振峰
毕业设计说明书外文摘要
Title Spectrum and Resonance Peak Characteristic Analysis of Speech Signal
Abstract Speech is the basic means of human communication。 With the continuous development of information science, speech signal processing field of information science has become an important of the fastest growing branch, it is important to promote social development。
Characteristics of the speech signal in the frequency domain based on speech recognition。 Speech can be seen as a short-time stationary signal, due to the resonance effect of the vocal tract, the vowel spectrum contains a series of harmonic, the harmonic amplitude energy group, known as the resonance peak。 The resonance peak parameters include resonance peak frequency and bandwidth, which are used to distinguish the important parameters of different vowels。 Different vowels correspond to a different set of parameters, which can be distinguished by the first 3 resonance peaks。 In this thesis, the analysis of the speech signal, the use of short-time Fourier transform to obtain a spectrum of the speech signal and the spectral curve formant analysis。 According to the spectrum is obtained , the experimental results show that the former speaker three different major background of the same vowel there is a corresponding relationship between the width of formant frequencies and vowel formant parameters。
Keywords speech signal short-time Fourier transform spectrum resonance peak
目 录
1 绪论 1
1。2 本文研究内容及意义 2
1。3 本文组织结构 2
2 语音信号基础知识介绍 3
2。1 语音信号的产生 3
2。2 语音信号产生的数字模型 4
2。2。1 激励模型 4
2。2。2 声道模型 5
2。2。3 辐射模型 6
2。3 语音信号的特性 6
2。3。1 语音信号的时域特性 6
2。3。2 语音信号的频域特性 7
2。4 汉语语音的分类 8
2。4。1 声母和韵母 8
2。4。2 元音和辅音 9
3 语音信号频谱分析