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voice

于 2011-12-16 发布文件大小:26KB

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下载积分: 1 下载次数: 116

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代码说明：

对一段语音进行变速变调等多种处理的MATLAB样例程序。(Variable-speed modulation of a variety of voice processing sample MATLAB program.)

文件列表：

speechproc.m,6447,2011-07-24
voice.pcm,27460,2006-08-14
voice11.m,318,2011-07-24
voice21.m,231,2011-07-23
voice22.m,373,2011-07-24
voice41.m,415,2011-07-24

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sources_4610
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Windows_voice_1.109_57283e23
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EVRC
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2017-04-27 23:14:34下载

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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)

2012-12-01 14:07:09下载

积分：1
formant
利用matlab软件提取共振峰参数利用matlab软件提取共振峰参数(Formant extraction can be used for voice recognition technology)

2009-07-01 10:23:25下载

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SpeechRec
基于DTW算法实现的语音识别程序，可以识别数字0 9，以及“正弦波，方波，三角波”，并将波形识别结果装入TXT文件中！(DTW algorithm based on speech recognition program that can recognize digits 0 to 9, and sine, square, triangle, and waveform recognition result is loaded into a TXT file!)

2015-12-06 19:32:24下载

积分：1
GSC
采用广义旁瓣抵消（GSC）自适应波束形成方法实现时域和频域滤波，采用LMS自适应算法，最终实现语音增强。（文件中包含纯净语音及不同信噪比的带噪语音）(Generalized sidelobe canceller (GSC) adaptive beamforming method to achieve time-domain filtering using the LMS adaptive algorithm, and ultimately the speech enhancement)

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nlmsbeamformer2
lms alghoiritm method adaptive system

2012-04-10 00:34:57下载

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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

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