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SpeakerMFCCGMM

于 2011-11-21 发布 文件大小:3668KB
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下载积分: 1 下载次数: 220

代码说明:

  speaker recognition using MFCC GMM EM

文件列表:

01_test.wav,143180,2004-10-22
01_train.wav,2798882,2004-10-22
02_test.wav,376368,2004-10-22
02_train.wav,2228844,2004-10-22
03_test.wav,639830,2003-03-20
03_train.wav,2726938,2004-10-22
EM.pdf,52117,2004-03-12
gmm_estimate.m,3238,2004-11-02
graph_gmm.m,848,2004-11-02
histn.m,254,2004-03-12
lmultigauss.m,1118,2004-03-12
lsum.m,1173,2004-03-12
SpeakerRec.m,2344,2011-11-20

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    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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