HMM 语音识别代码

这是我在做实验时用到的语音处理分辨清辅音的代码，在matlab 7。0上运行通过。-This is what I was doing the voice processing used in experiments to distinguish voiceless consonant of the code, matlab 7. 0 to run through.

本文以凌阳公司的SPCE061A单片机为控制核心，以语音小车控制电路板为辅，设计小车的动作。完成了电源电路、复位电路、键盘电路、音频输入电路，音频输出电路和无线控制电路等硬件功能模块的设计。在软件方面，利用C语言进行编程，进行语音的“训练”和“识别”。设计出具有如下功能的语音声控小车:能够根据录制的语音命令来控制小车的前进，后退，左转，右转的功能。测试表明，在环境背景噪音不太大，控制者的发音清晰的前提下，语音控制小车的语音识别系统能对特定的语音指令做出智能反应，做出预想中的有限的动作。

回音消除算法matlab,采用的VIRE的双方通话检测-Matlab algorithms eliminate echoes, the two sides call the VIRE Detection

g.711 C代码-G.711 C code

fir filter 程序 老师上课留的作业，在这里跟大家分享一下，希望能有所帮助-fir filter procedures teacher in the class to stay the operation here to share with you, hope can be helped

用于语音识别的离散隐马尔可夫模型程序（非特定人，多个观测序列），已调试通过。-used discrete speech recognition Hidden Markov Model (non-specific, a number of observation sequence), has been through testing.

呼叫中心源程序(CTI)-call centers source (CTI)

G.723语音编码 The source code has been modified by simplifying the ADPCM algorithm to increase running speed. Here, the quantizer scale factor, y(k), is determined by "unlocked" factor yu(k) only. The factor yl(k) and speed-contral factor al(k) are ignored.-G.723 speech coding The source code has been modified by simplifying the ADPCM algorithm to increase running speed. Here, the Quantizer scale factor, y (k), is determined by "unlocked" factor yu (k) only. The factor yl (k) and speed-contral factor al (k) are ignored.

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&

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