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于 2015-05-21 发布 文件大小:1240KB
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代码说明：

  语音识别,有GUI界面，实现0~9数字语音识别(speaker identification)

文件列表：

HMMHMMHMM
.........\HMM
.........\...\approxeq.m,225,1999-11-27
.........\...\consist.m,2633,1999-11-27
.........\...\dist2.m,821,1999-11-27
.........\...\em_converged.m,829,1999-11-27
.........\...\enumerate_loglik.m,552,1999-11-27
.........\...\Examples
.........\...\........\fixed_lag_demo.m,990,1999-11-27
.........\...\........\learn_dhmm_demo.m,319,1999-11-27
.........\...\........\learn_mhmm_demo.m,266,1999-11-27
.........\...\........\online_em_demo.m,2223,1999-11-27
.........\...\fhmm_infer.m,7936,1999-11-27
.........\...\fixed_lag_smoother.m,2132,1999-11-27
.........\...\forwards.m,1332,1999-11-27
.........\...\forwards_backwards.m,3600,1999-11-27
.........\...\gaussian_prob.m,607,1999-11-27
.........\...\gmm.m,2324,1999-11-27
.........\...\gmminit.m,2979,1999-11-27
.........\...\init_mhmm.m,1790,1999-11-27
.........\...\kmeans.m,3592,1999-11-27
.........\...\learn_hmm.m,5608,1999-11-27
.........\...\learn_mhmm.m,5662,1999-11-27
.........\...\Matlab中文论坛 Simulink 论坛 Matlab下载 Matlab资料 Matlab视频 Matlab图像处理 Matlab神经网络 Matlab数学运算.htm,60848,2008-03-10

.........\...\mk_dhmm_obs_lik.m,558,1999-11-27
.........\...\mk_fhmm_topology.m,378,1999-11-27
.........\...\mk_ghmm_obs_lik.m,487,1999-11-27
.........\...\mk_mhmm_obs_lik.m,875,1999-11-27
.........\...\mk_stochastic.m,770,1999-11-27
.........\...\normalise.m,283,1999-11-27
.........\...\Old
.........\...\...\example1.m,1592,1999-11-27
.........\...\...\fixed_lag_smoother.m,1952,1999-11-27
.........\...\...\learn_hmm.m,4021,1999-11-27
.........\...\...\online_em.m,2392,1999-11-27
.........\...\...\online_em_hmm_demo.m,2092,1999-11-27
.........\...\...\online_em_pomdp_demo.m,2736,1999-11-27
.........\...\...\sample_markov_chain.m,1161,1999-11-27
.........\...\online_em.m,2359,1999-11-27
.........\...\prob_path.m,448,1999-11-27
.........\...\README,184,1999-11-27
.........\...\sample_dhmm.m,568,1999-11-27
.........\...\sample_discrete.m,561,1999-11-27
.........\...\sample_mc.m,442,1999-11-27
.........\...\sample_mdp.m,490,1999-11-27
.........\...\sample_mhmm.m,997,1999-11-27
.........\...\sample_pomdp.m,612,1999-11-27
.........\...\viterbi_path.m,1563,1999-11-27
.........\...\说明.txt,727,2006-02-21
HMM_VoiceRecognation
....................\baum.m,1539,2013-07-06
....................\data
....................\....\test
....................\....\....\0b.wav,29640,2001-10-21
....................\....\....\1b.wav,31800,2001-10-21
....................\....\....\2b.wav,37224,2001-10-21
....................\....\....\3b.wav,32664,2001-10-21
....................\....\....\4b.wav,38264,2001-10-21
....................\....\....\5b.wav,37144,2001-10-21
....................\....\....\6b.wav,35624,2001-10-21
....................\....\....\7b.wav,33576,2001-10-21
....................\....\....\8b.wav,21608,2001-10-21
....................\....\....\9b.wav,27192,2001-10-21
....................\....\train
....................\....\.....\0a.wav,29096,2001-10-21
....................\....\.....\1a.wav,33832,2001-10-21
....................\....\.....\2a.wav,32840,2001-10-21
....................\....\.....\3a.wav,38472,2001-10-21
....................\....\.....\4a.wav,37144,2001-10-21
....................\....\.....\5a.wav,34408,2001-10-21
....................\....\.....\6a.wav,36552,2001-10-21
....................\....\.....\7a.wav,36280,2001-10-21
....................\....\.....\8a.wav,21624,2001-10-21
....................\....\.....\9a.wav,25192,2001-10-21
....................\getparam.m,1997,2013-07-06
....................\hmm.mat,48534,2013-07-06
....................\HMM_VoiceRecognation.fig,4027,2013-07-07
....................\HMM_VoiceRecognation.m,7655,2013-07-07
....................\inithmm.m,1304,2013-07-06
....................\main.m,222,2013-07-06
....................\mfcc.m,861,2013-07-06
....................\mixture.m,389,2013-07-06
....................\pdf.m,233,2013-07-06
....................\recog.m,318,2013-07-06
....................\samples.mat,599914,2013-07-06
....................\train.m,839,2001-11-13
....................\vad.m,1853,2013-07-06
....................\viterbi.m,1029,2013-07-06

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  • yycl
    提取语音信号的lpc参数并进行时间归整，需要将wav语音文件放在指定目录下‘e:yyzl’(voice signal from the lpc parameters and time consolidation, need to wav sound files on the specified directory 'e : yyzl')
    2006-11-28 12:11:09下载
    积分：1
  • Fast ICA
    基于ICA和PCA相结合实现的语音信号的采集、随机混合，再通过盲分离将混合后的语音信号分离(Speech signal acquisition and random mixing based on ICA and PCA, and then the mixed speech signal is separated by blind separation.)
    2020-11-06 01:09:50下载
    积分：1
  • 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.)
    2012-10-29 16:49:47下载
    积分：1
  • negentropy
    基于负熵的盲源分离算法，可以用于语音的盲分离，提高语音信号质量(Negative entropy algorithm based on blind source separation, can be used to blind separation of speech, improve the quality of voice signal)
    2020-06-30 11:20:02下载
    积分：1
  • 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)
    2012-11-02 20:41:58下载
    积分：1
  • hmm
    hmm文件时运用HMM算法实现噪声环境下语音识别的。其中vad.m是端点检测程序；mfcc.m是计算MFCC参数的程序；pdf.m函数是计算给定观察向量对该高斯概率密度函数的输出概率；mixture.m是计算观察向量对于某个HMM状态的输出概率，也就是观察向量对该状态的若干高斯混合元的输出概率的线性组合；getparam.m函数是计算前向概率、后向概率、标定系数等参数；viterbi.m是实现Viterbi算法；baum.m是实现Baum-Welch算法；inithmm.m是初始化参数；train.m是训练程序；main.m是训练程序的脚本文件；recog.m是识别程序。(hmm HMM algorithm file using speech recognition in noisy environments. Which is the endpoint detection process vad.m mfcc.m procedure is to calculate the MFCC parameters pdf.m function is calculated for a given observation vector of the Gaussian probability density function of output probability mixture.m is to calculate the observation vector for a HMM state output probability of observation vector is the number of Gaussian mixture per state output probability of the linear combination getparam.m before the calculation of the probability function, backward probability, calibration coefficients and other parameters viterbi.m is Viterbi algorithm implementation baum.m Baum-Welch algorithm to achieve inithmm.m is the initialization parameters train.m is the training program main.m training program is a script file recog.m is to identify procedures.)
    2010-09-16 20:51:49下载
    积分：1
  • 402864
    语音库开发工具源码，例程程序创建机读SAPI.SpVoice对象开发语音库。(Speech development tools source , routine program to create machine-readable SAPI.SpVoice speech object development .)
    2016-12-22 09:44:30下载
    积分：1
  • espeak_1.36
    espeak语音生成库，内附有移植使用文档《espeak移植使用》(espeak speech generation library, containing transplanted using the document espeak transplant use )
    2021-01-03 18:08:56下载
    积分：1
  • GenderRecognition
    从一段音频中识别说话人的性别。开发环境vs2005(To identify the audio from a speaker' s gender. Development Environment vs2005)
    2009-10-25 00:41:52下载
    积分：1
  • speechstt
    c#写的语音识别程序，识别效率还算可以。且根据识别可以给出相应的识别百分比。适合研究语音识别以及tts的参考！(c# to write the speech recognition process, identify efficiency figure. And recognition can be given according to the percentage of the corresponding identification. Tts speech recognition, as well as for research reference!)
    2010-06-01 09:51:14下载
    积分：1
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