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speaker-recognition-hmm

于 2013-05-15 发布 文件大小:161KB
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代码说明:

  hmm 说话人识别 matlab 算法,c++算法,(speaker recognition hmm)

文件列表:

说话人识别相关程序
..................\blockFrames
..................\...........\blockFrames.asv,937,2012-05-13
..................\...........\blockFrames.m,937,2012-05-13
..................\...........\demo.asv,5404,2012-05-10
..................\...........\demo.m,5404,2012-05-10
..................\...........\disteu.asv,816,2010-04-16
..................\...........\disteu.m,816,2010-04-16
..................\...........\main.asv,1472,2010-05-20
..................\...........\main.m,1451,2010-05-21
..................\...........\melfb.m,1580,2012-05-11
..................\...........\mfcc.asv,2363,2012-05-13
..................\...........\mfcc.m,2363,2012-05-13
..................\...........\record.m,641,2012-05-07
..................\...........\test.asv,1197,2010-05-20
..................\...........\test.m,1286,2012-05-13
..................\...........\test_record.asv,414,2010-05-21
..................\...........\test_record.m,508,2012-05-07
..................\...........\train
..................\...........\.....\1.wav,44144,2012-05-25
..................\...........\train.asv,1261,2012-05-13
..................\...........\train.m,1260,2012-05-13
..................\...........\train_record.asv,748,2010-05-20
..................\...........\train_record.m,779,2012-05-07
..................\...........\viterbi_path.m,1563,1999-11-27
..................\...........\vqlbg.asv,1790,2012-05-13
..................\...........\vqlbg.m,1770,2012-05-13
..................\cut.m,679,2010-04-13
..................\c_train.m,1248,2010-04-10
..................\基于MFCC和加权矢量量化的说话人识别系统.pdf,112828,2007-04-13
..................\小波去噪matlab程序.doc,36352,2012-05-07

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    该文件为基于DTW的孤立词识别系统(特定人、小词汇量,未采用鲁棒语音识别技术)(The document DTW for isolated word recognition system based on (a specific person, small vocabulary, did not use robust speech recognition technology))
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    用MATLAB来实现谱减法降噪。有源程序和降噪先后的语音信号,有实验的结果图(Use MATLAB to achieve spectral subtraction noise reduction. There has voice source and noise signals, there are experimental results of Figure)
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