研究生课程：语音识别(吴善培)

在linux平台下,纯c写的盲信号分离的代码.它采用基于卷积混合的盲信号分离算法,不但可以分离人工合成的混合信号,而且对于真实环境中的卷积混合的语音信号也能够分离.在本程序中,包含了两个测试文件,makefile后便可以直接使用. 另外值得一提的是,压缩包里包含有一些语音处理方面的常用函数.例如fft变换,读取写入wav文件,以及一些常用的一维向量和二维矩阵变换的函数.这些可以直接应用在其他应用程序里去.-in linux platform, net write c Blind Signal Separation code. it is based on convolution of mixed Blind Signal Separation algorithm, not only can be separated from the artificial synthesis of mixed-signal, but for the real environment convolution of mixed voice signals can be separated. in this procedure, the tests included two documents, makefile can be used directly after. Also worth mentioning is that Compression bag containing some of voice processing functions commonly used. fft transform, for example, to read write wav file, and some of the commonly used one-dimensional and two-dimensional vector matrix transformation functions. these can be directly applied to other applications going.

语音信号端点检测的程序实现，文章，希望对大家有所帮助- The pronunciation signal vertex examination procedure realization, the article, hoped has the help to everybody

一个比较简单的语音识别程序，使用windows Speech API，语音到文本。-One of the simple programs for speech signal recognition. using windows Speech API, speech to text.

语音识别中的窄带信号提取函数，matlab版-Speech Recognition narrowband signal extraction function, Matlab version

语音图像压缩dpcm编码源程序-voice Image Compression length coding source

自编的FASTICA程序，简明实用，并附带两个子程序以及WAV文件，-FASTICA staged by the procedures, concise and practical, and with two subroutine and WAV documents,

The Yin algorithm was developed by Alain de Cheveigné of IRCAM-CNRS and Hideki Kawahara of Wakayama University. It allows for real-time continuous (for each sample) fundamental frequency estimation. It features a very low error rate and few tuning parameters. This implementation is a C++ template, with EMM support for faster processing. Developped in Visual C++ 6.0, but should compile with other compilers.-The Yin algorithm was developed by Alain de Cheveigné of IRCAM-CNRS and Hideki Kawahara of Wakayama University. It allows for real-time continuous (for each sample) fundamental frequency estimation. It features a very low error rate and few tuning parameters. This implementation is a C++ template, with EMM support for faster processing. Developped in Visual C++ 6.0, but should compile with other compilers.

运用SAPI将文本转化成语音的demo-use SAPI text into voice demo

为了实现高速语音特征参数的提取，在分析了美尔频率倒谱特征参数提取算法的基础上，提出了算法的硬件 设计方案，介绍了各模块的设计原理。该方案增加了语音激活检测功能，可对语音信号中的噪音帧进行检测，提高了特征参 数的可靠性。-In order to achieve high-speed voice characteristic parameter extraction, in the analysis of Mel frequency cepstral feature extraction algorithm is proposed based on the algorithm the hardware Design, describes the design principles of each module. The program increased the Voice Activity Detection feature, which allows voice signals to detect the noise frame to improve the characteristic parameters The number of reliability.

用VC编的用于实时录音的工具，相当于windows的录音工具。-A realtime recording tool developed with VC just like the recording tool of windows.