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MFCC-GMM

于 2011-01-17 发布文件大小:1153KB

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下载积分: 1 下载次数: 1138

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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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AnalogVoiceSignal
观测实时模拟信号（语音）的频谱用音频设备采集一段语音，将语音存为.wav格式。对wav文件作分段傅里叶变换分析。语音是分音节的，应把它分段分析，而且实际运用中的数字信号处理的FFT的点数是有限的，一般只能达到千点。用傅里叶反变换IFFT，从频域恢复信号。画出频谱图和语音波形图。 (Observing real-time analog signal (voice) of the spectrum collected with the audio devices section of voice, voice saved as. Wav format. Wav file of the sub-Fourier transform analysis to make. Speech is divided into syllables, it should be sub-analysis, and practical application of digital signal processing of the FFT points is limited, generally only reach 1000 points. Fourier inverse transform IFFT, to restore the signal from the frequency domain. Draw the spectrum map and voice waveform.)

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2013-01-23 11:02:47下载

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语音AEC的demo程序和库源代码，在win7下验证可行。(audio aec demo in windows7.)

2020-07-16 22:58:49下载

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chirplet_analasis
针对信号自适应chirplet分解未知参数多、实现起来比较困难的特点，文献[1]提出了一种新的chirplet分解快速算法。该算法利用计算信号的二次相位函数，得到其能量分布集中于信号的调频率曲线上的结论，此时通过谱峰检测可同时获得chirplet调频率、时间中心和幅度的估计；然后通过解线性调频技术获得其初始频率和宽度的估计，仿真结果验证了本文算法的有效性。(this code includs one method for chirplet analasis,that is used in voice and ultra-wave analasys,etc.)

2009-03-09 10:23:45下载

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SpeakerMFCCGMM
speaker recognition using MFCC GMM EM

2011-11-21 01:33:47下载

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yuyinchuli
在matlab平台利用GUI界面实现录音，播放。并对语音信号进行频谱分析，特定人语音识别，混响，混频等基础功能。(On the MATLAB platform, the GUI interface is used to record and play. And the speech signal spectrum analysis, specific speech recognition, reverberation, mixing and other basic functions.)

2017-10-29 15:11:18下载

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talkbox_1.1.1.tar
这是一个基于C++的语音识别系统,包括语音输入,识别,输出等功能(This is a C-based speech recognition systems, including voice input and recognition, output function)

2020-09-30 14:47:42下载

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Voice-conversion
源－目标说话人声音转换的学位论文：源－目标说话人声音转换则是指将源说话人的语音模式转换成某个指定的特定目标说话人的语音模式，即保持源说话人原有的语音信息内容不变，使转换后的语音具有目标说话人的声音特点。(Source- target speaker voice conversion refers to the source speaker voice patterns into a designated target speaker-specific speech patterns, that is, the source speaker to keep the original voice message unchanged, so that the converted speech with the goal of the speaker s voice characteristics.)

2011-01-19 22:33:56下载

积分：1
ABSE
熵值越大则每个符号包含的平均信息量越大。有研究发现，在有噪声的语音信号中，语音信号的熵和噪声信号的熵存在着较大的差异，对噪声信号来说在整个频带内分布相对平坦，熵值小，语音信号集中在某些特定频段内，熵值大。因此利用这个差异可以区分噪音段和语音段。(The greater the entropy is, the greater the average information of each symbol is. It is found that, in noisy speech signals, the entropy of speech signals and the entropy of noise signals are quite different. For noisy signals, the distribution is relatively flat in the whole frequency band, and the entropy value is small. The speech signal is concentrated in some specific frequency bands, and the entropy value is large. So the difference can be used to distinguish the noise segment and the speech segment.)

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