▍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)
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)
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 )
function [Coefficients,residual,pitch,Gain,parcorCoefficients,stream,B,crossmat,error_stream] = lpcanalysis(speechtodecode,samplerate,L,windowtime,preemp)
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)
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)
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)
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)
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.)
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)
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.)
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)
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)
voice recognition using mfcc
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)
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.)
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.)