[优秀毕业设计毕业论文]语音识别技术及微软speech_sdk研究毕业论文.doc

摘要

语音识别技术是2000年至2010年间信息技术领域十大重要的科技发展技术之一 ,语音识别是一门交叉学科，语音识别正逐步成为信息技术中人机接口的关键技术，语音识别技术与语音合成技术结合使人们能够甩掉键盘，通过语音命令进行操作。语音技术的应用已经成为一个具有竞争性的新兴高技术产业。
Microsoft speech SDK 是微软提供的软件开发包，其中包含了语音识别和合成引擎相关组件、帮助文档和例程，它是—个语音识别和合成的二次开发平台。我们可以利用这个平台，在自己开发的软件里嵌入语音识别和合成功能，从而使用户可以用声音来代替鼠标和键盘完成部分操作，实现真正的“人机对话”。
语音识别技术是让机器接收、识别和理解语音信号，并将其转换成相应的数字信号的技术。语音识别技术主要包括特征提取技术、模式匹配准则及模型训练技术三个方面。此外，还涉及到语音识别单元的选取。语音识别过程包括语音输入、特征提取、模式匹配等等。语音识别系统可以根据对输入语音的限制加以分类。
关键词：语音识别，语音合成， speech DSK，文本合成语音TTS， COM
Abstract
Speech recognition technology is from 2000 to 2010 the field of information technology among top ten major technologies are one of the, speech recognition is a cross-discipline, speech recognition, information technology is becoming the key technology in human-computer interfaces, voice recognition technology and voice synthesis technologies enable people to get rid of the keyboard, through voice commands to operate. Speech technology has become a competitive emerging high-tech industries.
Microsoft speech SDK is software development kit provided by Microsoft, which includes speech recognition and synthesis engine related components, to help document and routines, it is a speech recognition and synthesis of secondary development platform. We can use this platform to develop their own software in embedded speech recognition and synthesis, so that users can use voice to replace the mouse and keyboard to complete part of the operation, to achieve real "man-machine dialogue."
Speech recognition technology is to enable the machine to receive, identify and understand the voice signal and converts it into a corresponding digital signal technology. Speech recognition technology include feature extraction techniques, pattern matching criteria and the three aspects of model training techniques. In addition, it involves the selection of speech recognition units. Speech recognition process, including voice input, feature extraction, pattern matching, etc.. Speech recognition system can be restricted based on the input speech to be classified.

Key words: speech recognition, speech synthesis, speech(DSK), text synthesized speech(TTS), COM

目录
摘要 I
ABSTRACT II
第一章 前言 1
1.1 研究目的 1
1.2 章节安排 1
第二章 语音识别技术 2
2.1 语音识别技术综述 2
2.2 语音识别的发展历史 2
2.3 语音识别系统的分类 4
2.4 语音识别的几种基本方法 5
2.5 语音识别系统的结构 6
2.6 语音识别所面临的问题 9
第三章 基于SPEECH SDK的语音识别与合成 12
3.1 SPEECH SDK简介 12
3.1.1 语音识别引擎接口 12
3.1.2 语音合成引擎接口 13
3.2 SPEECH SDK 5.1的工作原理 13
3.3 实例应用 14
第四章 语音技术的应用及发展趋势 16
4.1 引言 16
4.1.1 语音识别技术在信息处理领域的应用 16
4.1.2 教育与商务应用 17
4..1.3 消 费 电 子 产 品 应 用 18
4.1.4 语音识别技术的军事应用 19
4.2 语音识别技术的前景 21
第五章 总结 22
参考文献 23
致谢 24