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HawkVoiceDI Project created and maintained by Phil Frisbie, Jr. HawkVoiceDI has been tested on the following platforms: Win32 (9x, ME, NT 4.0, 2000, XP, CE) Linux (various flavors) Contributors (code, ideas, comments, motivation, etc.):-HawkVoiceDI Project created and maintained by Phil Frisbie, Jr. lt;phil@hawksoft.comgt; HawkVoiceDI has been tested on the following platforms: Win32 (9x, ME, NT 4.0, 2000, XP, CE) Linux (various flavors) Contributors (code, ideas, comments, motivation, etc.):

HMM_隐马尔可夫过程的介绍，希望对初学者有用-HMM_ Hidden Markov process, the hope that useful for beginners

LZW压缩解压的完整程序，不可多得，连输入输出参数都实现了。可立即下在编译-LZW compression decompression integrity procedures, rare, and even input and output parameters are realized. Immediately under the compiler

文字阅读器，运行前须安装speechsdk51.exe和speechsdk51LangPack.exe语音引擎，在微软网站上可以下载到。-text reader, prior to the operation and installation speechsdk51.exe speechsdk51LangPack.exe voice engine, the Microsoft Web site to download.

关于hmm仿真的资料，内容实用有效。希望对大家有所帮助-hmm simulation of the information, as practical and effective. We hope to help

任务描述：编写基于DTW算法的孤立词语音识别核心程序，完成孤立词识别的完整流程，包括数据准备，模板制作，识别与测试等。

语音识别（Speech Recognition）是让机器通过识别和理解过程把语音信号转变为相应的文本或命令的技术。在课题中，通过采用DTW（Dynamic time warping, 动态时间伸缩）算法，对实现孤立词的识别进行了初步探讨和研究，实现了在MATLAB软件环境下孤立词语的语音识别，并针对DTW的主要特点及不足做出了总结。-Speech Recognition (Speech Recognition) machines is through recognition and understanding of a process which put the voice signal into the corresponding text or command technology. The issue, through the use DTW (Dynamic time warping, dynamic time telescopic) algorithm to achieve an isolated word recognition conducted a preliminary exploration and study, the realization of the MATLAB software environment isolated words of Speech Recognition and DTW against the main features and deficiencies make summarized.

这是解决约瑟夫圜的程序. 注释:这是本人自己编写的.不足之处请各位大哥大姐多多指教,另外请注意版权问题.-Joseph won the procedures. Note : This is my own prepared. Deficiencies Department asked Big Brother Big Sister to the exhibitions, and to copyright issues.

语音识别中的两种特征提取方法lpcc和mfcc，还有一个是文本无关的识别算法dtw，另外还有一个是预处理消噪部分的。共享一下，这些都是我调试过的，好用。-Speech Recognition two feature extraction methods and mfcc lpcc. There is a text-independent recognition algorithm dtw, in addition to a pretreatment is part of the noise source. Sharing that those are off the debugging and ease of use.

一个很好的模式识别应用书籍,介绍人脸识别以及语音识别的技术-a good pattern recognition applications books, introduced face recognition and voice recognition technology