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rebuilt.HumanTimbre_recognition-master

于 2018-03-31 发布 文件大小:18577KB
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代码说明：

  利用mfcc特性进行语音识别，分类算法为svm。(Speech recognition using MFCC characteristics)

文件列表：

HumanTimbre_recognition-master, 0 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法, 0 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\mfcc.m, 1341 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\sa1.wav, 127020 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\sa1_segmentation.wav, 70046 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\vad.m, 2274 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox.zip, 536479 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox, 0 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\Contents.m, 11244 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\activlev.m, 11650 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\atan2sc.m, 1739 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\bark2frq.m, 4341 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\bitsprec.m, 3218 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\cblabel.m, 2409 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\ccwarpf.m, 1954 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\cep2pow.m, 2080 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\choosenk.m, 2176 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\choosrnk.m, 1577 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\correlogram.m, 3852 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\distchar.m, 3747 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\distchpf.m, 3361 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\disteusq.m, 3599 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\distisar.m, 4565 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\distispf.m, 3671 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\distitar.m, 4100 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\distitpf.m, 3538 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\ditherq.m, 1930 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\dlyapsq.m, 2668 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\dualdiag.m, 2433 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\dypsa.m, 25603 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\enframe.m, 2821 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\entropy.m, 3812 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\erb2frq.m, 2667 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\estnoisem.m, 15221 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\ewgrpdel.m, 2401 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\figbolden.m, 3652 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\filtbankm.m, 14347 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\filterbank.m, 3417 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\findpeaks.m, 4121 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\finishat.m, 2763 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\flac.exe, 262144 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\fopenmkd.m, 2200 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\frac2bin.m, 2424 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\fram2wav.m, 5135 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\frq2bark.m, 5718 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\frq2erb.m, 2615 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\frq2mel.m, 2470 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\frq2midi.m, 2035 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\fxpefac.m, 15898 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\fxrapt.m, 16559 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\gammabank.m, 9251 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\gausprod.m, 6512 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\gaussmix.m, 22370 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\gaussmixd.m, 6530 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\gaussmixp.m, 8062 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\glotlf.m, 3255 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\glotros.m, 1841 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\gmmlpdf.m, 4569 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\histndim.m, 4537 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\huffman.m, 2406 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\imagehomog.m, 5279 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\importsii.m, 3788 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\irdct.m, 2403 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\irfft.m, 3241 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\kmeanhar.m, 7825 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\kmeanlbg.m, 1834 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\kmeans.m, 5356 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\ldatrace.m, 3224 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lin2pcma.m, 2138 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lin2pcmu.m, 2028 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lognmpdf.m, 2034 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\logsum.m, 1848 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lpcaa2ao.m, 1245 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lpcaa2dl.m, 1416 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lpcaa2rf.m, 1292 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lpcao2rf.m, 1233 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lpcar2am.m, 2724 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lpcar2cc.m, 1710 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lpcar2db.m, 1379 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lpcar2ff.m, 1284 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lpcar2fm.m, 2707 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lpcar2im.m, 1329 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lpcar2ls.m, 1958 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lpcar2pf.m, 1410 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lpcar2pp.m, 1728 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lpcar2ra.m, 1315 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lpcar2rf.m, 1640 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lpcar2rr.m, 1787 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lpcar2zz.m, 1275 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lpcauto.m, 4223 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lpcbwexp.m, 1461 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lpccc2ar.m, 1485 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lpccc2cc.m, 1293 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lpccc2db.m, 1704 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lpccc2pf.m, 1623 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lpcconv.m, 4265 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lpccovar.m, 4952 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lpccw2zz.m, 1314 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lpcdb2pf.m, 1232 , 2016-06-27
HumanTimbre_recognition-master\MFCC算法\voicebox\lpcdl2aa.m, 1299 , 2016-06-27

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    基于LMS算法的变换域的源程序，里面给出了学习曲线，迭代后的输出曲线(LMS algorithm based on the Domain source, which is a learning curve, the output iterative curve)
    2006-12-30 13:17:56下载
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  • 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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    c#写的语音识别程序，识别效率还算可以。且根据识别可以给出相应的识别百分比。适合研究语音识别以及tts的参考！(c# to write the speech recognition process, identify efficiency figure. And recognition can be given according to the percentage of the corresponding identification. Tts speech recognition, as well as for research reference!)
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    语音信号处理中的所有基本的算法的代码 联合开发网 - pudn.com
    2011-04-26 13:02:39下载
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    采用自相关法提取语音信号的基音周期，根据男女生基音频率的不同，识别说话人性别。(Gender recognization system based on ACF)
    2014-07-04 11:00:19下载
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    应用LBG算法对语音信号进行矢量量化。本压缩包共有两个主文件，training.m对训练数据进行处理并得到四个初始码本，quantizing.m对待量化数据进行矢量量化。其余为自编功能函数。(application of voice signal VQ. The compressed into two main documents, training.m right training data to be processed and four of the initial code, quantizing.m treat quantitative data for vector quantization. The remainder self-function.)
    2021-01-09 23:48:50下载
    积分：1
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    2012-03-25 19:12:20下载
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