ToolboxBSS

EVRC的语音编码算法研究及仿真,及二阶固定码本搜索算法(Speech Coding Algorithm and Simulation of EVRC)

基于倒谱短时部分反映了语音的声道特性，先用汉明窗取一帧语音，然后经变换得到语音倒谱，将倒谱短时部分取出，进行正交反变换后将得到声道的对数谱，即得到语音频谱的包络。将频谱包络和频谱画在一张图上，有很好的对比效果。获取的包络效果十分好。(Based Cepstral partly reflects the short channel characteristics of the speech, first take a Hamming window with a frame of speech, and speech cepstrum obtained by converting the cepstrum short segment out inverse orthogonal transform to obtain channel will of the spectrum, i.e. to obtain the envelope of the speech spectrum. The spectral envelope and spectral painted on a chart, there is a good contrast. Get the envelope effect is very good.)

hMM的前向算法 ,详细的的介绍了算法的过程，并又程序的编程说明(hmm the method of hmm )

从wave中读取数据，通过mfcc提取特征系数。从txt文件中读取基于GMM的分类器，最终识别为那种类型(Read data from the wave through the MFCC feature extraction coefficient. Txt file to read from the GMM-based classifier, and ultimately identified as the type)

程序功能可以基本上实现基于C语言的G.729A语音算法的解码功能，添加了部分本人的注释和理解，便于读者理解(Program features can basically C language-based decoding algorithm G.729A voice, add some of my notes and understanding, easier to understand)

网页校验码识别程序，识别网上数字校验码，准确性高。(website check code identification procedures, and identification number of online check codes and high accuracy.)

压缩包中包括3个用于对语音增强中，增强语音质量测试的程序：分段信噪比提高测量、对数谱距离测量、信噪比测量。具体说明，请看文件文件说明。(Compression package, including three for speech enhancement, the enhanced voice quality testing procedures: Sub-noise ratio improve measurement of the distance spectrum measurement, signal to noise ratio measurement. Specify, see the paper documentation.)

ARMA模型建立程序，给出自相关序列，指定ARMA模型的P阶，Q阶参数，得出相应的参数值 function [bq ,ap]=armahat(rx,p,q)(ARMA model for the establishment of procedures, to come from related sequences, designated the P-order ARMA model, Q-order parameters, the corresponding parameter values derived function [bq, ap] = armahat (rx, p, q))

基于GMM模型实现语音转换,通过GMM模型对谱包络的建模，实现男女，个性化语音之间转换(Voice conversion using GMM model)

自己用matlab编的语音合成识别程序，验证好使。(Yourself using matlab speech synthesis recognition program, verify so.)