lbg

对 隐马尔科夫工具包的使用及安装进行说明，主要是在matlab下运用

实现语音识别，使用HTK工具。README描述了具体的训练过程。(Voice recognition, using HTK tools. README describes the specific training process.)

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)

语音识别功能，可以直接说话进行识别，然后转换成文字(Speech recognition)

attention model for saliency detection.

这是一个与语音识别与端点检测有关的文件,是用C++写的源程序,相信对大家有用(This is a speech recognition with the Endpoint Detection of the documents are written in C source files, it may be useful to think)

基于压缩感知的语音信号的重构算法。使用的bp算法(Based on perception of speech signal compression algorithm of reconstruction. Using the bp algorithm )

产生双音多频信号。输入任何参数就可得到所要的结果。(Generate DTMF signal. Input any parameters, you will get what you need.)

对语音信号基频的提取对于语音信号的分析有一定作用(Basic frequency of speech Analysis )

三种降噪，回声和变调的语音信号处理，含UI界面(Three kinds of noise reduction, echo and tone of voice signal processing, including UI interface)