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rebuilt.HumanTimbre_recognition-master

于 2018-03-31 发布 文件大小:18577KB
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  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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  • Digital-Voice-Processing-
    本书系统地阐述了语音信号处理的原理、方法、技术和应用，同时给出了部分内容对应的MATLAB仿真源程序。全书共12章，第1章至第7章是基本理论部分，包括语音信号的数字模型、语音信号的短时时域分析和频域分析、语音信号的同态处理、语音信号线性预测分析和矢量量化；第8章至第12章是应用部分，包括语音编码、语音合成、语音识别、语音增强和语音处理的实时实现。本书内容全面，重点突出，原理阐述深入浅出，注重理论与实际应用的结合，可读性强。(This book describes the speech signal processing principles, methods, techniques and applications, and gives the corresponding part of the contents of the MATLAB simulation source. The book is 12 chapters, Chapter 1 to Chapter 7 is the basic theoretical part, including voice signal digital model, speech signal analysis in time domain and frequency domain analysis, speech signal homomorphic processing, speech signal analysis and linear prediction vector quantified Chapter 8 to Chapter 12 is the application of parts, including speech coding, speech synthesis, speech recognition, speech enhancement and voice processing, real-time implementation. The book is comprehensive, focused and Rationale layman, focusing on the combination of theory and practical application, readable.)
    2021-05-16 00:30:03下载
    积分：1
  • speechRHMM
    HMM语音识别的matlab程序，举了1-9几个数字的例子，对语音识别的程序进行了验证(HMM Speech Recognition program， cited the example of figures 1-9, the speech recognition process was validated)
    2012-04-01 11:05:33下载
    积分：1
  • VoiceModem
    互联网著名国产软件小沁语音信使源代码。使用TAPI接口及语音Modem，实现语音电话自动拨打，语音录制及播放，广泛适用于企事业广告营销。(The use of TAPI interface and voice Modem, realize voice telephone automatic dial, voice recording and playback, widely applicable to the business of advertising and marketing. )
    2015-02-05 09:59:19下载
    积分：1
  • yycl
    提取语音信号的lpc参数并进行时间归整，需要将wav语音文件放在指定目录下‘e:yyzl’(voice signal from the lpc parameters and time consolidation, need to wav sound files on the specified directory 'e : yyzl')
    2006-11-28 12:11:09下载
    积分：1
  • VQ ASR
    基于VQ的说话人识别系统，在MATLAB环境下实现基于矢量量化的说话人识别系统。在实时录音的情况下，利用该说话人识别系统，对不同的人的1s～7s的语音进行辨识。实现与文本无关的自动说话人确认的实时识别。(speaker recognition system based on vector quantization)
    2019-06-07 12:44:37下载
    积分：1
  • ConvertToOne
    能有效实现语音合并，将两个相同采样率和相同精度的语音文件合并成为一个相同采样率和相同精度的语音文件。(Can effectively realize the merger of voice, and the two the same sampling rate and the same precision audio files into a different sampling rate and the same accuracy of voice files.)
    2007-10-11 17:33:49下载
    积分：1
  • mendelHMM
    hmm的工具箱，里面有很全面的hmm的matlab程序包，适用于各种环境使用(hmm the toolbox, which has a very comprehensive hmm the matlab package, applicable to a variety of environmental use)
    2008-06-02 16:13:28下载
    积分：1
  • dct
    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
  • mfcc
    谱减去，最常用的程序，实习除噪，语音增强(To achieve denoising)
    2012-05-08 15:39:06下载
    积分：1
  • MSR-Identity-Toolkit-v1.0
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    2015-04-03 07:16:09下载
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