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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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  • yuyinzengqiang
    用三种经典的方法对语音信号进行增强，效果还不错并且三种方法的比较(With three classical methods of speech signal enhancement, the results were good and Comparison of Three Methods)
    2016-07-17 17:42:29下载
    积分：1
  • LMS-Algorithm
    11阶自适应滤波器的LMS算法，并且与RLS进行了比较(11 steps LMS adaptive filter algorithm and the RLS were compared)
    2012-11-26 14:33:46下载
    积分：1
  • NLMS
    用NLMS实现对语音的回声的消除,共4个文件,语音原声,语音回声,NLMS的实现,回声路径(Using NLMS realize voice echo on the elimination of a total of four documents, voice, soundtrack, voice echo, NLMS realization echo path)
    2021-04-13 09:48:56下载
    积分：1
  • lms
    程序实现的功能是：一种改进型的LMS算法！具有收敛速度快的特点(Procedures for the realization of the functions are: an improved algorithm of LMS! With the characteristics of fast convergence)
    2008-06-27 16:40:55下载
    积分：1
  • nietiu
    多抽样率信号处理，包括邓氏关联度、绝对关联度、斜率关联度、改进绝对关联度,完整的基于HMM的语音识别系统。( Multirate signal processing, Including Deng s correlation, absolute correlation, correlation of slope, improved absolute correlation, Complete HMM-based speech recognition system.)
    2016-11-08 16:00:00下载
    积分：1
  • SMI
    智能天线波束形成的LMS、SMI、RLS算法的程序(Smart antenna beamforming of LMS, SMI, RLS algorithm procedure)
    2020-12-14 15:19:14下载
    积分：1
  • MMSE_IC
    基于LMS(最小均方误差算法)的自适应滤波 基于LMS(最小均方误差算法)的自适应滤波(based on the LMS (MMSE) algorithm based on the LMS adaptive filtering (minimum mean square error algorithm) the adaptive filtering based on the LMS (minimum mean square error algorithm) Adaptive Filter)
    2020-06-29 23:00:01下载
    积分：1
  • voicesignalprocessing
    语音识别中信号特征的提取，基因周期估计，共振峰估计等。(Signal feature extraction in speech recognition, cycle genes estimation, formant estimation,etc)
    2015-03-24 15:51:06下载
    积分：1
  • AnalogVoiceSignal
    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.)
    2010-01-27 16:01:16下载
    积分：1
  • speech-enhancement-
    语音增强算法，基于人耳听觉掩蔽的维纳滤波(Subspace speech enhancement algorithm based on human auditory masking Wiener filter)
    2015-07-19 13:17:44下载
    积分：1
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