This procedure includes voice compression and voice recognition requirements in...

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电话功能及语音信号处理和相关硬件配置源码 drive code for telephone function and sound signal process including related hardware setting-Telephone functions and speech signal processing and related hardware configuration source drive code for telephone function and sound signal process including related hardware setting

这里有fft,ifft,conj,xcorr,resample的用法。-Here are fft, ifft, conj, xcorr, resample usage.

自己写的关于ica语音分离的，性能不怎么样，但还是可以运行-A program for ICA speech signal separating created by myself. Although the function is not excellent, it can run.

2400bps MELP语音编解码源程序。-2400 MELP voice codec source.

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.

凌阳61做的语音报站，已经通过调试。-do voice stations, has passed testing. Haha

这个关于语音识别的文章，介绍了HMM模型的参数优化的 问题，以及HMM模型的孤立字识别中的应用。-This article on speech recognition, introduced the HMM model parameter optimization, as well as isolated word HMM model to identify the application.

LMS滤波器（最小均方误差滤波器），学习现代数字信号处理理论的人应该用的上。-LMS filter (minimum mean square error filter), learning modern digital signal processing theory should be used on.

介绍基于SVM模型的语音识别方法的处理与研究，通过把SVM 与DCT相结合来进行语音的识别。-Introduced the SVM model based on speech recognition method of treatment and research, through the combination of SVM with the DCT for speech recognition.