基于microsoft speech sdk的语音识别代码程序

Based on short-term energy detection and short-term cross zero rates detection in speech reorganization,the paper presents two-threshold endpoint detection.In addition,an accurate speech segmentation algorithm is achieved with the wavelet transform and statistics signal frequency domain characteristics.using cepstrum transform and cepstrum distance with the background noise,the paper achieved the speech segmentation algorithm.Analysis and Implementation of Speech Endpoint Detection

基音提取并换算成音高,matlab程序，加入了优化的功能使得结果更好-Pitch extraction and converted into pitch, matlab program, joined the optimization of the function of making the results better

用labview实现的基于mfcc的说话人识别，测试的结果不是太理想，但体现的思想应该对labview的学习有所帮助-Using LabVIEW realize the MFCC-based speaker recognition, the test results are not too ideal, but should embody the idea of learning LabVIEW help

g.729协议源代码,c语言,直接可以应用(dsp定点化)

lms的matlab程序仿真，可以实现lms的一些性能仿真-matlab simulation of LMS procedures, you can realize some of LMS performance simulation

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

利用微软的语音引擎使你的程序会朗读，需要安装微软语音引擎或者金山词霸- Causes your procedure using Microsoft s pronunciation engine to be able to read aloud, needs to install the Microsoft pronunciation engine or the Jinshan word tyrant

H。263标准的编解码程序代码，仅作参考， 甚用！-H. 263 codec standard code for information only, the very use!

基于tapi，接入电话-TAPI-based, telephone access

The Yin algorithm was developed by Alain de Cheveigné of IRCAM-CNRS and Hideki Kawahara of Wakayama University. It allows for real-time continuous (for each sample) fundamental frequency estimation. It features a very low error rate and few tuning parameters. This implementation is a C++ template, with EMM support for faster processing. Developped in Visual C++ 6.0, but should compile with other compilers.-The Yin algorithm was developed by Alain de Cheveigné of IRCAM-CNRS and Hideki Kawahara of Wakayama University. It allows for real-time continuous (for each sample) fundamental frequency estimation. It features a very low error rate and few tuning parameters. This implementation is a C++ template, with EMM support for faster processing. Developped in Visual C++ 6.0, but should compile with other compilers.