摘要在日常生活中，人与人之间的交流可以靠语言，可以靠动作，甚至表情眼神， 都可以作为交流工具。但是毫无疑问用语言交流，是人最重要的交流方式。同理， 在人与计算机语音互换的过程中语音也是人机互换最直接的沟通方式了，说话人 特有的语音特征是计算机所要识别的。计算机识别了带有特征的语音后，经过加 工合成然后与人进行互换。所以说话人的转换研究极为重要。说话人转换顾名思 义，就是一个人所说的话在其表达的意思不变的情况下让其听起来是另一个人的 语音。72261

说话人的转换方法，其实就是对语音分析，语音编码、语音合成、语音增强、 语音识别等语音信号处理的研究，并通过在 LabVIEW 的环境下运行，能够有效 地转化成我们所需要的信息。本设计就是基于 PSOLA 算法和基音重采样技术两 者相结合而设计的一个说话人转换的系统。这一方案改变了传统的人的语言交 流，进一步直观地表达出了我们所需要的信息，更加的直观具体。说话人转换的 研究对于语音信号处理来说有着重要的理论价值和应用意义。

该论文有图 28 幅，参考文献 25 篇。

毕业论文关键词：语音识别 语音分析 说话人转换 LabVIEW 信号处理

Speaker LabVIEW Environment Conversion Method

Abstract In daily life, communication between people can rely on the language, you can rely movements, facial expressions and even the eyes, can be used as  a communication tool。 But there is no doubt that the language of communication is the most important means of communication。 Similarly, in the course of human and computer voice is the voice of the man-machine exchange swap most direct means of communication, and the speaker's voice feature is unique to the computer to be identified。 Computer with voice recognition feature, the processed synthesis and exchange with people。 Conversion of the speaker's so extremely important。 Voice conversion by definition, is a person allowed under the words to express the meaning of their constant sound is another man's voice。

Speaker conversion method, in fact, speech analysis, speech coding, speech synthesis, speech enhancement, speech recognition and other voice signal processing, and by running in the LabVIEW environment, can be efficiently converted to the information we need。 This design is based on both technical and resampling algorithm PSOLA pitch combination is designed to convert a speaker system。 This program has changed the traditional human verbal communication, further visually express the information we need, more intuitive and concrete。 Study Speaker converted to speech signal processing has important theoretical significance and application value。

Key Words:  speech recognition speech analysis voice conversion LabVIEW signal processing

目 录

摘 要 I

Abstract II

目 录 III

图清单 IV

1 绪论 1

1。1 语音技术 1

1。2 说话人转换技术 2

1。3 本章小结 7

1。4 论文的内容和组织 7

2