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语音信号的短时分析，主要包括：分帧、短时能量、短时平均幅度、短时过零率、短时自相关函数、短时幅度差、倒谱、复倒谱、lpc系数、lpc谱估计等 绝对保证质量，是保研后导师布置的一些基础程序(Short-time speech signal analysis, mainly including: sub-frame, short-time energy, short-term average, short-time zero-crossing rate, short-time auto-correlation function, short-term rate of poor cepstrum, complex cepstrum, lpc coefficients, lpc spectral estimation, such as an absolute guarantee that the quality of instructors is the security arrangement after the inquest some of the basis of procedures)

科大讯飞语音识别最新Demo,国内优秀的语音识别平台(new demo)

利用DTW模版匹配算法实现0~9十个数字的识别。(use DTW template matching algorithm 0-9 10-digit identification.)

C#版语音识别系统，精准度超强，到得收藏(C# version of the speech recognition system, super accuracy to Favorites)

声音特征提取程序，分帧后，对于每一帧提取MFCC等特征(voice feature extraction)

采用自相关法提取语音信号的基音周期，根据男女生基音频率的不同，识别说话人性别。(Gender recognization system based on ACF)

提取MFCC的matlab代码，用于提取MFCC-梅尔倒普系数(MFCC extraction of matlab code, for the extraction of MFCC-Mel Pu inverted coefficient)

Matlab code for CELP

完整的基音识别程序,经过修改,测试正确。包含基音检测，DTW，LPCC，MFCC提取等(integrity of the pitch identification procedures, the result of the revision, the test correctly. Pitch Detection included, DTW, LPCC Features, MFCC extraction)

FreeTTS开发工具及手册用于语音识别等功能，希望大家用得着。(FreeTTS develop)