speech recognition theory . The explanation is good.

Epos, a freely distributable language independent Text-to-Speech system.

LPC 10 Code,比较经过lpc编码与没有经过lpc编码的语音差别，用自相关法计算lpc参数。-LPC 10 Code, comparison, after encoding and not LPC LPC voice coding differences, using auto-correlation method to calculate LPC parameters.

HMM模型在语音识别中的应用，相信对HMM模型感兴趣的语音或图像等专业人员应该明白价值。-It is about Hidden Markov Models (HMM) method in Speech Recognition research. those interested in HMM or speech/image processing should know it s value.

基于MATLAB的语音识别系统程序,包括HMM,DTW,Record三个matlab的M文件.-MATLAB-based speech recognition system procedures, including HMM, DTW, Record three Matlab M documents.

文章详尽论述了一种语音增强的新方法,应该对大家有一些启发-The article discusses in detail a new method for speech enhancement, it should be for all of us shed some light on

语音信号处理中基音周期的提取算法。运用循环的平均幅度差分法实现的。-Speech signal processing algorithm for pitch period extraction. The average rate of use of cyclic difference method realized.

G.723 音频编码与解码算法,其中包括了线性预测编码，线谱对的寻找等等过程-G.723 Audio Encoding and Decoding Algorithm.G.723 Implement linear predictive coding algorithm

语音识别与合成系统. 里面有详细的介绍与程序-Speech Recognition and Synthesis System. There are a detailed introduction and procedures

语音信号的频域处理,语音虽然是一个时变、非平稳的随机过程。但在短时间内可近似看作是平稳的。因此如果能从带噪语音的短时谱中估计出“纯净”语音的短时谱，即可达到语音增强的目的。由于噪声也是随机过程，因此这种估计只能建立在统计模型基础上。利用人耳感知对语音频谱分量的相位不敏感的特性，这类语音增强算法主要针对短时谱的幅度估计。 -voice signals in the frequency domain processing, voice is a time-varying, nonstationary random process. But in a short period of time can be approximated as smooth. So if Noisy Speech from the short-term spectrum estimate "pure" voice of the short-term spectrum, and reached speech enhancement purposes. As the noise is random process, which can only be estimated based on statistical models based on. Use ear perception of voice spectrum component of the phase sensitive to the characteristics of such speech enhancement algorithms targeted at the rate of short-term spectral estimation.

Vista 语音识别-Vista Speech Recognition