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MFCC-GMM

于 2011-01-17 发布 文件大小:1153KB
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代码说明:

  基于MFCC的GMM的说话人识别,是很好的语音处理程序(MFCC of the GMM based speaker recognition, speech processing is a very good program)

文件列表:

基于MFCC的GMM的说话人识别
.........................\buffer2.m,530,2006-03-04
.........................\enframe.m,457,2008-05-12
.........................\epdByVol.m,4938,2010-04-14
.........................\epdParamSet.m,842,2008-05-04
.........................\frame2sampleIndex.m,889,2006-02-23
.........................\frame2volume.m,2410,2009-06-05
.........................\frameZeroMean.m,1621,2007-08-27
.........................\getTriFilterParam.m,1225,2003-06-11
.........................\gmm_estimate.m,2937,2008-05-14
.........................\go.m,2220,2010-06-23
.........................\lmultigauss.m,927,2010-06-21
.........................\lsum.m,1173,2007-06-14
.........................\melbankm.m,718,2008-05-14
.........................\melcepst.m,613,2008-05-19
.........................\mfccParamSet.m,793,2008-06-02
.........................\MFCC_feature_compare.m,672,2010-06-21
.........................\rdct.m,463,2008-05-12
.........................\rfft.m,385,2008-03-20
.........................\segmentFind.m,1100,2008-10-17
.........................\speakerData.mat,154586,2010-06-23
.........................\speakerGmm.mat,12939,2010-06-23
.........................\test
.........................\....\张三一.wav,160044,2009-10-09
.........................\....\张三二.wav,160044,2009-10-09
.........................\....\陈蕴谷 口哨.wav,160044,2009-10-09
.........................\....\陈蕴谷 英文.wav,160044,2009-10-09
.........................\trainning
.........................\.........\梁建娟.wav,160044,2009-10-09
.........................\.........\熊可.wav,160044,2009-10-08
.........................\.........\胡业刚.wav,160044,2009-10-08
.........................\.........\陈蕴谷.wav,160044,2009-10-08
.........................\.........\颜小运.wav,160044,2009-10-08
.........................\wave2mfcc.m,4923,2009-08-13
.........................\说明文档.txt,204,2010-06-23

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  • sss
    关于蚁群聚类算法的matlab实现,对于初学者是很有帮助的呀~~ (On the ant colony clustering algorithm matlab realize, for beginners it is helpful ~ ~)
    2008-05-08 16:35:14下载
    积分:1
  • matlab_shuziyuyin
    本次课程设计主要介绍了语音信号的录制、语音信号的采集与分析、语音信号的采样、语音信号的频谱分析、加噪后的频谱分析、滤波器的设计以及对于语音信号的回放等知识。通过 Cool Edit录制一段语音信号,运用MATLAB对其进行时域与频域分析,然后设计滤波器加入噪声进行滤波处理,比较滤波前后始于波形或频谱的变化,最后实现对于语音的回放设计。(Digital voice processing filter design)
    2020-12-22 16:19:07下载
    积分:1
  • 信号处理-赵力 PDF
    语音信号处理课件:语音基础知识、短时时域分析、频域分析、倒谱域分析、线性预测技术、语音增强、语音识别(Speech signal processing courseware: basic knowledge of speech, short-term time domain analysis, frequency domain analysis, cepstrum domain analysis, linear prediction technology, speech enhancement, speech recognition)
    2019-06-28 23:09:40下载
    积分:1
  • lunwen
    本文主要研究普通计算环境下语音自动识别(ASR)技术的软件实时实现,基于语音识别的基本原理和过程。在VC环境下建立了一套语音识别系统及其演示软件。实验表明,该系统对特定人情况有较高的识别率和一定的实时性(In this paper, under the computing environment on general automatic speech recognition (ASR) technology to achieve real-time software, speech recognition based on the basic principles and processes. VC environment in the establishment of a voice recognition system and its presentation software. The experiments show that the systems are in particular have a high recognition rate and a certain degree of real-time)
    2009-06-06 15:14:09下载
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  • 新建文件夹 (4)
    基于matlab的HMM语音识别仿真,通过matlab实现对0-9数字的语音识别(HMM speech recognition simulation based on MATLAB)
    2019-05-30 15:21:09下载
    积分:1
  • 最终代码说话人
    实现了基于特定话语的聚类LGB和VQ的说话人识别(Speaker Recognition Based on Clustering LGB and VQ)
    2019-05-20 15:04:44下载
    积分:1
  • speech_vad
    利用MATLAB来实现语音的分帧及语音端点检测(Using MATLAB to achieve voice segmentation and voice endpoint detection)
    2017-07-12 21:44:14下载
    积分:1
  • speech-emotion-recognition-system
    gmm模型下的语音情感识别系统,GMM只是一个数学模型,只是对数据形态的拟和,但是和你所看到的数据分布存在出入也是正常的,因为用EM估计GMM的那些参数时,一般假设我们所得到的数据是不完备的(也就是说假设我们看到的数据分布不是真正的分布,它在运算时把那部分丢失或者叫隐藏的数据“补”上了)(gmm model speech emotion recognition system, GMM is a mathematical model, but fitting the data form, but you can see there is access to the data distribution is normal, because those with the EM estimated GMM parameters, the general assumption we get the data is incomplete (that is, assuming we see the distribution of the data distribution is not real, it is part of the operation at the time that is lost or hidden data is called " fill" on the))
    2011-04-27 09:02:20下载
    积分:1
  • speech-enhancement
    本资料涵盖了几乎所有的语音增强方面的方法,主要有谱减法,听觉掩蔽,最小均方误差,维纳滤波以及一些非主流的方法,这些对于研究语音增强的人来说是很有帮助的(The data cover almost all aspects of speech enhancement methods, the main spectral subtraction, auditory masking, minimum mean square error, Wiener filtering as well as some non-mainstream approach, which for the study of speech enhancement is helpful for people who)
    2021-05-13 09:30:03下载
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  • enframe
    适用于对各种语音信号的分帧,将语音信号分段处理(Applicable in a variety of speech signal sub-frame, the speech signal Break Processing)
    2021-04-14 21:38:54下载
    积分:1
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