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1、攀枝花学院本科毕业设计(论文) 摘要摘要 基音周期是表征语音信号本质特征的参数，属于语音分析的范畴，只有准确分析并且提取出语音信号的特征参数，才能够利用这些参数进行语音识别处理。语音识别率的高低，都依赖于对语音信号分析的准确性和精确性，因此基音周期的研究在语音信号的处理应用中具有十分重要的作用。本论文通过两种算法在Matlab 上实现基音周期的检测，分别是短时自相关函数法和短时平均幅度差函数法。通过实验得到的基音周期结果的分析来识别不同的人的语音信号。 论文首先介绍了语音基音检测算法在语音识别方面的研究背景极其重要意义。其次对现有的基音检测算法进行了归纳和总结，并详细的介绍本文将用的两种基本基
2、音检测算法的基本原理及实现。最后在 Matlab 上对语音信号进行基音周期的检测。本设计为语音信号的基音周期检测，采集语音信号，对语音信号进行处理，区分清音浊音，并通过对采样值进行滤波、分帧、求短时自相关函数，得到浊音的基音周期。关键词：预处理,基音检测,自相关函数法,平均幅度差函数法,基音轨迹 ，语音识别攀枝花学院本科毕业设计（论文） AbstractAbstractpitch is characterization parameters of speech signal characteristics, belongs to the category of speech analysis,
3、 only the accurate analysis and extract the characteristic parameters of speech signal can use these parameters to speech recognition processing. voice recognition rate of high and low, are dependent on the accuracy of the analysis of speech signal and accuracy, so the pitch period of the study on s
4、peech signal processing plays an important role in application.in this paper, through the two algorithm in Matlab pitch period detection, respectively is short-time autocorrelation method and short time average magnitude difference function method. Pitch period is obtained by the experiment results
5、of speech signal analysis to identify the different people.The curriculum design of pitch detection of speech signals, speech signal, the speech signal processing, distinguish between the voiced and unvoiced speech has different samples values in the filtering, framing, asks the short-time autocorre
6、lation function, have voiced sound pitch period.The thesis first introduces the research background of speech pitch detection algorithm is very important. Next to the existing algorithm for pitch detection are summarized, and a detailed introduction to this article will use the two kinds of basic pi
7、tch detection algorithm is the basic principle and realization. Finally in Matlab on speech signal pitch period detection.Keywords: pretreatment,pitch detection ,autocorrelation function; the average magnitude difference function method; pitch contrail，Speech recognition 攀枝花学院本科毕业设计（论文） 目录目目 录录摘要摘要.
8、IAbstract.II1 绪论绪论.11.1 引言引言 .11.2 基音周期检测对语音识别的意义基音周期检测对语音识别的意义 .21.3 基音周期检测现状基音周期检测现状 .31.4 论文的结构安排论文的结构安排 .42 2 基音检测常用的算法基音检测常用的算法.52.1 引言引言 .52.2 常用的基音检测算法及其原理常用的基音检测算法及其原理 .52.2.1 自相关函数法 .52.2.2 平均幅度差函数法 .92.32.3 本章小结本章小结 .113 基于基于 Matlab 基音周期的检测基音周期的检测.123.1 语音文件的录制与读入语音文件的录制与读入 .123.2 语音信号的采样和分帧语音信号的采样和分帧 .133.3 语音信号基音周期的检测语音信号基音周期的检测 .153.3.1 短时自相关函数法检测基音周期 .153.3.2 短时平均幅度差函数法检测基音周期 .163.4 基音周期检测的后处理基音周期检测的后处理 .183.5 滤波后的基音周期检测滤波后的基音周期检测 .223.6 本章小结本章小结 .254 语音识别结果分析语音识别结果分析.
