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HMM_matlab

于 2020-12-10 发布 文件大小:2983KB
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代码说明:

  这是基于隐马尔可夫模型的连续语音识别代码,不同于dtw,这是个完整的工程,我把需要的voicebox也放进去了,一共用到9个子函数,包括模板的训练算法何识别算法,是完全可以使用的。(This is based on the hidden Markov model of continuous voice recognition code, different the dtw, which is a complete project, I need to put the voicebox into a total of nine sub-functions, including the template training algorithm to identify the algorithm, Is fully available.)

文件列表:

HMM_matlab
..........\0a.wav,29096,2001-10-21
..........\0b.wav,29640,2001-10-21
..........\1a.wav,33832,2001-10-21
..........\1b.wav,31800,2001-10-21
..........\2a.wav,32840,2001-10-21
..........\2b.wav,37224,2001-10-21
..........\3a.wav,38472,2001-10-21
..........\3b.wav,32664,2001-10-21
..........\4a.wav,37144,2001-10-21
..........\4b.wav,38264,2001-10-21
..........\5a.wav,34408,2001-10-21
..........\5b.wav,37144,2001-10-21
..........\6a.wav,36552,2001-10-21
..........\6b.wav,35624,2001-10-21
..........\7a.wav,36280,2001-10-21
..........\7b.wav,33576,2001-10-21
..........\8a.wav,21624,2001-10-21
..........\8b.wav,21608,2001-10-21
..........\9a.wav,25192,2001-10-21
..........\9b.wav,27192,2001-10-21
..........\baum.m,1919,2017-04-25
..........\getparam.m,2281,2017-04-25
..........\hmm.mat,63856,2001-11-12
..........\inithmm.m,1594,2017-04-25
..........\kmeans.m,2001,2017-04-25
..........\main.m,483,2017-04-25
..........\mcut.fig,18312,2001-10-21
..........\MCUT.m,3763,2001-10-21
..........\mfcc.m,1100,2017-04-25
..........\mixture.m,411,2017-04-25
..........\MKEY.M,2412,2001-10-21
..........\MMOUSE.M,2403,2001-10-21
..........\pdf.m,230,2001-11-10
..........\readwave.m,355,2001-10-21
..........\recog.m,300,2017-04-25
..........\samples.mat,630000,2001-11-12
..........\train.m,1005,2017-04-25
..........\UNTITLED.FIG,16552,2001-10-20
..........\UNTITLED.M,4841,2001-10-20
..........\vad.m,1896,2017-04-25
..........\viterbi.m,1053,2017-04-25
..........\voicebox
..........\........\activlev.m,16679,2017-04-14
..........\........\activlevg.m,8389,2017-04-14
..........\........\atan2sc.m,1793,2017-04-14
..........\........\axisenlarge.m,2112,2017-04-14
..........\........\bark2frq.m,4728,2017-04-14
..........\........\berk2prob.m,1705,2017-04-14
..........\........\bitsprec.m,3305,2017-04-14
..........\........\cblabel.m,2469,2017-04-14
..........\........\ccwarpf.m,2013,2017-04-14
..........\........\cent2frq.m,2046,2017-04-14
..........\........\cep2pow.m,2131,2017-04-14
..........\........\choosenk.m,2239,2017-04-14
..........\........\choosrnk.m,1603,2017-04-14
..........\........\Contents.m,14643,2017-04-14
..........\........\correlogram.m,3975,2017-04-14
..........\........\distchar.m,3819,2017-04-14
..........\........\distchpf.m,3422,2017-04-14
..........\........\disteusq.m,3688,2017-04-14
..........\........\distisar.m,4641,2017-04-14
..........\........\distispf.m,3736,2017-04-14
..........\........\distitar.m,4170,2017-04-14
..........\........\distitpf.m,3601,2017-04-14
..........\........\ditherq.m,1982,2017-04-14
..........\........\dlyapsq.m,2756,2017-04-14
..........\........\dualdiag.m,3479,2017-04-14
..........\........\dypsa.m,26494,2017-04-14
..........\........\enframe.m,6637,2017-04-14
..........\........\entropy.m,3906,2017-04-14
..........\........\erb2frq.m,3430,2017-04-14
..........\........\estnoiseg.m,7306,2017-04-14
..........\........\estnoisem.m,16236,2017-04-14
..........\........\ewgrpdel.m,2461,2017-04-14
..........\........\fig2emf.m,4127,2017-04-14
..........\........\figbolden.m,4593,2017-04-14
..........\........\filtbankm.m,15242,2017-04-14
..........\........\filterbank.m,3507,2017-04-14
..........\........\finishat.m,4876,2017-04-14
..........\........\flac.exe,262144,2017-04-14
..........\........\fopenmkd.m,2254,2017-04-14
..........\........\frac2bin.m,2483,2017-04-14
..........\........\fram2wav.m,5259,2017-04-14
..........\........\frq2bark.m,6116,2017-04-14
..........\........\frq2cent.m,2072,2017-04-14
..........\........\frq2erb.m,3305,2017-04-14
..........\........\frq2mel.m,2796,2017-04-14
..........\........\frq2midi.m,2082,2017-04-14
..........\........\fxpefac.m,16582,2017-04-14
..........\........\fxrapt.m,17319,2017-04-14
..........\........\gammabank.m,9992,2017-04-14
..........\........\gausprod.m,6728,2017-04-14
..........\........\gaussmix.m,25016,2017-04-14
..........\........\gaussmixd.m,8199,2017-04-14
..........\........\gaussmixg.m,17585,2017-04-14
..........\........\gaussmixk.m,6625,2017-04-14
..........\........\gaussmixm.m,6481,2017-04-14
..........\........\gaussmixp.m,11941,2017-04-14
..........\........\gaussmixt.m,11418,2017-04-14

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0 个回复

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    在平台上找到的滑动/移动DCTII算法,都是用不了的,尤其是用于LMS,根本不适用,查了国内外论文,遍了程序,供大家参考(In PUDN,most DCT programm are not fit to LMS adaptive filter. with several literatures, this programm is finished for LMS filter.)
    2020-12-14 16:49:14下载
    积分:1
  • LMS
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    2021-04-10 11:48:58下载
    积分:1
  • banhui
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    2016-12-06 09:45:06下载
    积分:1
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    System Time Modifier ModifySysTimeItem
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    2021-04-12 21:18:56下载
    积分:1
  • main
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    2017-05-16 11:06:33下载
    积分:1
  • PESQ
    PESQ-主观语音质量评估。 ITU-T P.862建议书提供的客观MOS值评价方法。PESQ可以广泛的用于现场和模拟网络中端到端测量。背景(环境)噪声和噪声处理,可以通过用PESQ比较干净的、未处理的信号和编码的、经噪声干扰失真的信号评估得到。(PESQ- subjective speech quality assessment. ITU-T P.862 recommendations for objective MOS value uation method book provides. PESQ can be widely used in the field and in the end measurement analog networks. Background (ambient) noise and noise processing, you can use PESQ relatively clean, unprocessed signal uation and signal encoded by the noise distortion obtained.)
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    2015-03-24 15:51:06下载
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    2020-12-01 14:39:26下载
    积分:1
  • SpeechSource
    speech file to be analyzed Format : binary file 16 bit-samples 240 samples per frame (speech file to be analyzed Format : 16 bit binary file-samples of 240 samples per fram e)
    2006-10-14 00:01:36下载
    积分:1
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