▍1. genderFormantTracker(matlab)
说话人性别识别matlab程序，基音检测、共振峰检测、GMM模型识别(Speaker sex recognition matlab program, pitch detection, formant detection, GMM model identification)
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▍2. test-one
语音识别，有详细的程序注释，正确率达到95 (Speech recognition, detailed program notes, the correct rate of 95 )
▍3. lpcanalysis
function [Coefficients,residual,pitch,Gain,parcorCoefficients,stream,B,crossmat,error_stream] = lpcanalysis(speechtodecode,samplerate,L,windowtime,preemp)
▍5. svm-based-tone-recognition
基于svm分类器的汉语声调识别，实现了对声调四声的识别，纯净语音识别率100 ，噪声环境下识别率90 (The svm classifier based Chinese tone recognition, the four tones of tone recognition, the pure voice recognition rate of 100 , 90 recognition rate in noisy environments)
▍7. second
男女声识别程序，中科院数字信号处理第二次作业，分辨率百分之90 以上，带GUI，在前人基础上修改，保证能用，不能用联系我(Male and female vocal recognition program, digital signal processing operations of the Chinese Academy of Sciences, resolution of more than 90 , with a GUI, modify their predecessors on the basis of guaranteed to not use)
▍8. voicebox
语音识别需要用到的函数，在你的程序中可直接调用工具箱中的函数(Needed by the voice recognition function in your program can directly call the functions in the toolbox)
▍9. GMM-recognition
使用高斯混合模型（GMM），对声音信号进行识别，包括对特征参数的采集、训练和识别过程(Using the Gaussian mixture model (GMM)to realize the recognition of the sound signal, including the acquisition of the characteristic parameters,the training and the recognition process)
▍10. HMM_GMM
一个有效的，可以直接运行的HMM—GMM代码，而且带有语音数据。不存在任何障碍，值得初学者下载的浅显易懂的例子。(An effective, the HMM-GMM code that can be run directly, and with the voice data. There are no obstacles, beginners should download easy to understand examples.)
▍12. matlab_yuyinxinghao
语音信号的盲源分离算法研究及应用，本程序利用matlab实现(Blind Source Separation Algorithm Research and Application of the voice signal, the program using matlab realize)
▍13. Eriksson_method
基于单通道的在线次级通道建模的主动 噪声控制FXLMS算法的MATLAB实现( a single channel feed-forward active noise control system based on On-line secondary path modellingthe FxLMS alogrithms You can find many information about this simulation in "Use of random noise for online transducer estimate in an adaptive attenuation system " written by L,J Eriksson and M.A Allie in 1989.)
▍15. speechhmm
运用HMM进行语音识别之后的孤立词识别，里面函数俱全。可以直接运用，简单方便(Speech recognition with HMM isolated word recognition, which function and taste. Can directly use, simple and convenient)
▍16. LMS-Algorithm
11阶自适应滤波器的LMS算法，并且与RLS进行了比较(11 steps LMS adaptive filter algorithm and the RLS were compared)
▍17. Voice-recognition-using-mfcc-and-svm-Bitsforge
voice recognition using mfcc
▍18. synsize1
进行语音合成和分析，最基本的数据来源和可靠合成基础(Speech synthesis and analysis, basic data sources and reliable synthetic base)
▍19. lpcc-matlab
matlab程序，从语音中提取lpcc，可以修改维数，带详细中文解释，方便阅读。(matlab program, extracted from voice lpcc, you can modify the dimension, with a detailed explanation of the Chinese, and easy to read.)
▍20. AEC
基于LMS算法和NLMS算法的自适应声回波消除器AEC，实现的主要功能是：在用户对电视发出的指令混杂了电视扬声器的声学回声的情况下，滤掉电视声音得到较为纯净的用户语音指令信号。(The main function of the adaptive filter based on the LMS algorithm and the NLMS algorithm is mixed: in the instruction issued by the user on the television TV speakers acoustic echo case, the TV sound was removed by filtration to obtain relatively pure user voice command signal.)
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