特征分析对于声音信号的处理非常有用，希望这个能对大家有用...

一个非常广泛的语音识别模型；具体应用在代码里面；自己看-A very wide range of speech recognition model specific code inside the application own look

我懂得还很少，但是我所传的是我自己编写的关于用遗传算法实现语音识别的东西，欢迎批评指正-I know very little, but I have of myself prepared on Genetic Algorithms Speech Recognition things, welcome criticism correction

解除tcp筛选的的算法和软件实现，用vc编写，请大家下载-lifting tcp screening algorithms and software used to prepare vc, please download

g.72xC代码-g.72xC code

C50_melp.tar.gz为美军2400bps语音压缩编码算法，该压缩文件是算法在TI的TMS320V5X芯片上的实时实现算法。-C50_melp.tar.gz for U.S. 2400 voice compression encoding algorithm, the document compression algorithm is TMS320V5X in TI"s chip real-time algorithm.

OTOMATİ K KONUŞ MA TANIMA ALGORİ TMALARININ UYGULAMALARI Kö ksal Ö CAL Ankara Ü niversitesi Fen Bilimleri Enstitüsü Elektronik Mühendisliğ i Anabilim Dalı Danı ş man : Yrd. Doç . Dr. H. Gö khan İ LK Bu ç alı ş mada, SMM (Saklı Markov Model) tabanlı izole bir kelime tanı ma sistemi geliş tirilerek, sesin akustik parametreleri LPC (Linear Predictive Coding), LPCC (LPC Cepstrum), CEPS (Ayrı k Fourier dö nüş ümü tabanlı cepstrum) ve MFCC (Mel Frequency Cepstral Coefficients) ‘nin konuş macı dan bağ ı msı z konuş ma tanı ma sistemlerindeki performansları değ erlendirilmiş tir. Değ iş ik akustik parametrelerle birlikte değ iş ik S-OTOMATİ K KONUŞ MA TANIMA ALGORİ TMALARININ UYGULAMALARI Kö ksal Ö CAL Ankara Ü niversitesi Fen Bilimleri Enstitüsü Elektronik Mühendisliğ i Anabilim Dalı Dan&

本课题为给语音识别系统提供语音信号端点检测的功能，对语音信号端点检测进行了探讨和研究,主要是侧重语音区间的端点检测...(附软件源码)-Voice Active Detection (VAD) is discussed in this project. Detection between speech section and speechless section and emphasized.(code available).

很好的语音识别程序！可能对有些人有用！-excellent source for speech recognition.It can be helpful for somebody

Dejavu 是一个 Python 库，用于音频指纹和识别的算法。Dejavu 听一次音频后就会记录该音频的指纹信息，然后可通过麦克风对输入的音频进行识别是否同一首歌。

检测语音信号的共振峰 ％ gender = gender_detector(X,Fs) ％ ％ This function will use a pitch detection algorithm to decide if the speaker is MALE(0) or FEMALE (1). ％ It is designed to work with short speech samples (up to or greater than 50 ms). The function returns a ％ 0 if X contains male speech and a 1 if it contains female speech. -the resonance peak gender_detector% gender = (X, Fs)%% This function will use a detection a pitch lgorithm to decide if the speaker is abbreviation (0) or F EMALE (1). % It is designed to work with short spe ech samples (up to or greater than 50 ms). The fun ction returns a 0% if X contains a male speech and if it contains a female speech.