Speech recognition source code, can be fixed to implement some voice recognition...

英国爱丁堡大学的语音处理系统，可以找到大部分语音处理/识别/合成所需要的算法-University of Edinburgh voice processing system that can find most of voice processing/recognition/synthesis algorithms needed

语音识别专辑四- Speech recognition special edition four

采用LMS算法的频域均衡技术研究,lms在频域均衡方面的应用。-LMS algorithm using frequency domain equalization technology research, lms balance in the frequency domain applications.

改进的gmm（高斯混合模型）算法，是单一高斯几率密度函数的衍生-Improved gmm (GMM) algorithm, a single Gaussian probability density function of the derivative

自编的联合对角化程序，简单，清晰，并有痃详细的注解，带有两个波形文件，可直接显示结果。-jointly staged by the diagonalization procedure, a simple, clear and detailed explanation feast, with two waveform documents, The results can be shown directly.

一个HMM的Matlab实现方法，可实现孤立词语音识别-The Matlab realize a HMM method can realize an isolated word speech recognition

voip_samples_v888.c voipvoip_samples_v888 voip_samples_v

线性量化。读取WAV文件，用不同的比特数量化，抽样频率在8khz-Linear quantization. Read WAV files, with different number of bits, the sampling frequency of 8kHz

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.

ww.guanxing.net weineins adfljkwieofjlskadj fl jfiweoijsdalkfj lweoijfoijjkjfskl jskafowe ijlsdk ajf oweijf lskdjf ko weijfhikfd skljfiuwe sjalfkoweidlksjfkj gou le ba?tai fan le !