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pyAudioAnalysis-master

于 2016-09-22 发布 文件大小:46465KB
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下载积分: 1 下载次数: 64
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代码说明：

  实现语音的分割和识别，语音分割通过短时能量和过零率，语音识别通过dtw算法。(audio cut and reconige)

文件列表：

pyAudioAnalysis-master
......................\.gitignore,21,2016-04-13
......................\analyzeMovieSound.py,6014,2016-04-13
......................\audioAnalysis.py,25270,2016-04-13
......................\audioAnalysisRecordAlsa.py,5114,2016-04-13
......................\audioBasicIO.py,3137,2016-04-13
......................\audioFeatureExtraction.py,31667,2016-04-13
......................\audioFeatureExtraction.pyc,25463,2016-05-11
......................\audioSegmentation.py,44252,2016-04-13
......................\audioTrainTest.py,33481,2016-04-13
......................\audioTrainTest.pyc,28703,2016-05-11
......................\audioVisualization.py,8136,2016-04-13
......................\data
......................\....\3WORDS.wav,841772,2016-04-13
......................\....\beat
......................\....\....\100 BPM - Rhythm patterns - Salsa.mp3,3894701,2016-04-13
......................\....\....\120 BPM Techno Drum Loop.mp3,6000798,2016-04-13
......................\....\....\170 BPM - Simple Straight Beat - Drum Track.mp3,5071674,2016-04-13
......................\....\....\200 BPM (goa psy trance).mp3,5278146,2016-04-13
......................\....\....\small.wav,319566,2016-04-13
......................\....\computational.sh,344,2016-04-13
......................\....\count.segments,326,2016-04-13
......................\....\count.wav,187854,2016-04-13
......................\....\count2.segments,320,2016-04-13
......................\....\count2.wav,337622,2016-04-13
......................\....\diarizationExample.pkf,83992,2016-05-12
......................\....\diarizationExample.segments,126,2016-04-13
......................\....\diarizationExample.wav,1343534,2016-04-13
......................\....\diarizationExample2.segments,108,2016-04-13
......................\....\diarizationExample2.wav,713670,2016-04-13
......................\....\diarizationResults.xls,138752,2016-04-13
......................\....\doremi.wav,256406,2016-04-13
......................\....\hmmRadioSM,2927,2016-04-13
......................\....\knn5Classes,59809,2016-04-13
......................\....\knnMovies8classes,1912893,2016-04-13
......................\....\knnMusicGenre3,185105,2016-04-13
......................\....\knnSM,944162,2016-04-13
......................\....\knnSM.arff,940345,2016-04-13
......................\....\knnSpeakerAll,194073,2016-04-13
......................\....\knnSpeakerFemaleMale,151673,2016-04-13
......................\....\matSegToCSV.m,364,2016-04-13
......................\....\matSegToCSV_dir.m,203,2016-04-13
......................\....\recording1.wav,1600044,2016-04-13
......................\....\recording2.wav,960044,2016-04-13
......................\....\recording3.wav,1600044,2016-04-13
......................\....\recordRadio.py,4693,2016-04-13
......................\....\scottish.segments,94,2016-04-13
......................\....\scottish.wav,7914284,2016-04-13
......................\....\similarities.html,4082,2016-04-13
......................\....\speechEmotion
......................\....\.............\00.wav,66846,2016-04-13
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......................\....\.............\02.wav,89124,2016-04-13
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......................\....\.............\04.wav,58646,2016-04-13
......................\....\.............\05.wav,122834,2016-04-13
......................\....\.............\06.wav,119644,2016-04-13
......................\....\.............\07.wav,72578,2016-04-13
......................\....\.............\08.wav,101346,2016-04-13
......................\....\.............\09.wav,125938,2016-04-13
......................\....\.............\10.wav,57344,2016-04-13
......................\....\.............\11.wav,48544,2016-04-13
......................\....\.............\12.wav,60242,2016-04-13
......................\....\.............\13.wav,78520,2016-04-13
......................\....\.............\14.wav,58474,2016-04-13
......................\....\.............\15.wav,54342,2016-04-13
......................\....\.............\16.wav,47448,2016-04-13
......................\....\.............\17.wav,48812,2016-04-13
......................\....\.............\18.wav,70820,2016-04-13
......................\....\.............\19.wav,60396,2016-04-13
......................\....\.............\20.wav,51352,2016-04-13
......................\....\.............\21.wav,49182,2016-04-13
......................\....\.............\22.wav,71190,2016-04-13
......................\....\.............\23.wav,49996,2016-04-13
......................\....\.............\24.wav,66646,2016-04-13
......................\....\.............\25.wav,189004,2016-04-13
......................\....\.............\26.wav,198938,2016-04-13
......................\....\.............\27.wav,175958,2016-04-13
......................\....\.............\28.wav,217260,2016-04-13
......................\....\.............\29.wav,171572,2016-04-13
......................\....\.............\30.wav,97654,2016-04-13
......................\....\.............\31.wav,94250,2016-04-13
......................\....\.............\32.wav,64970,2016-04-13
......................\....\.............\33.wav,50048,2016-04-13
......................\....\.............\34.wav,95876,2016-04-13
......................\....\.............\35.wav,130148,2016-04-13
......................\....\.............\36.wav,66674,2016-04-13
......................\....\.............\37.wav,65866,2016-04-13
......................\....\.............\38.wav,63730,2016-04-13
......................\....\.............\39.wav,48938,2016-04-13
......................\....\.............\40.wav,112102,2016-04-13
......................\....\.............\41.wav,113118,2016-04-13
......................\....\.............\42.wav,113436,2016-04-13
......................\....\.............\43.wav,115640,2016-04-13
......................\....\.............\44.wav,115758,2016-04-13
......................\....\.............\45.wav,117082,2016-04-13
......................\....\.............\46.wav,122598,2016-04-13
......................\....\.............\47.wav,123740,2016-04-13
......................\....\.............\48.wav,125690,2016-04-13
......................\....\.............\49.wav,125834,2016-04-13

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    一个有效的，可以直接运行的HMM—GMM代码，而且带有语音数据。不存在任何障碍，值得初学者下载的浅显易懂的例子。(An effective, the HMM-GMM code that can be run directly, and with the voice data. There are no obstacles, beginners should download easy to understand examples.)
    2012-12-16 00:09:34下载
    积分：1
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    2020-11-11 10:59:44下载
    积分：1
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    2011-11-11 13:35:10下载
    积分：1
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    1、文件夹中包含了经典功率谱估计和自适应均衡算法两个实验的所有程序。 2、R.m、LMS.m、LMSmain.m为自适应均衡算法的程序： R.m用来计算输入信号的自相关矩阵及其特征值； LMS.m为时域LMS算法，用统计的方法仿真得出不同信道参数和不同步长下的学习曲线； LMSmain.m为实验主程序，按照实验要求中的具体数据得到实验结果和曲线。 3、functionx.m、fzhouqitu.m、spectrum.m、bt.m、bart_lett.m、welch.m、SPECTRUMmain.m为经典谱估计的程序： functionx.m产生需要进行谱估计的函数； fzhouqitu.m用来计算信号周期图的函数； spectrum.m是用周期图法进行谱估计的函数 bt.m是用BT图法进行谱估计的函数 bart_lett.m是用BARTLETT法进行谱估计的函数 welch.m是用WELCH法进行谱估计的函数 SPECTRUMmain.m是主程序，按照实验要求中的具体数据得到实验结果和曲线。 (a document folder contains the classic power spectrum estimation and adaptive equalization algorithm for the two experiments all the procedures. 2, R.m, LMS.m, LMSmain.m adaptive equalization algorithm for the procedure : R.m used to calculate the input signal and the correlation matrix eigenvalue; LMS.m too LMS algorithm, use statistical simulation method come to a different channel parameters and the synchronous learning curve; LMSmain.m main program for the experiment, according to the experimental requirements of the specific data and the curve of the experimental results. 3, functionx.m, fzhouqitu.m, spectrum.m. bt.m, bart_lett.m, welch.m. SPECTRUMmain.m classical spectrum estimation procedures : functionx.m have a need for spectrum estimation function; fzhouqitu.m used to calculate t)
    2007-04-29 17:54:54下载
    积分：1
  • genderFormantTracker(matlab)
    说话人性别识别matlab程序，基音检测、共振峰检测、GMM模型识别(Speaker sex recognition matlab program, pitch detection, formant detection, GMM model identification)
    2013-03-08 22:00:24下载
    积分：1
  • LMSmatlab
    这 里主要对LMS算法及一些改进的LMS算法（NLMS算法、变步长LMS算法、变换域LMS算法）之间的不同点进行了比较，在传统的LMS算法的基础上发 展了LMS算法的应用。另一方面又从RLS算法的分析中对其与LMS算法的不同特性进行了比较。(Here mainly on the LMS algorithm and some improvements of the LMS algorithm (NLMS algorithm, variable step size LMS algorithm, transform domain LMS algorithm) between the different points of comparison, in the traditional LMS algorithm developed on the basis of the application of the LMS algorithm. On the other hand from the analysis of RLS algorithm and LMS algorithm for its different characteristics compared.)
    2021-03-06 12:59:30下载
    积分：1
  • Speech_signal_short_time_analysis
    语音信号的短时分析，主要包括：分帧、短时能量、短时平均幅度、短时过零率、短时自相关函数、短时幅度差、倒谱、复倒谱、lpc系数、lpc谱估计等 绝对保证质量，是保研后导师布置的一些基础程序(Short-time speech signal analysis, mainly including: sub-frame, short-time energy, short-term average, short-time zero-crossing rate, short-time auto-correlation function, short-term rate of poor cepstrum, complex cepstrum, lpc coefficients, lpc spectral estimation, such as an absolute guarantee that the quality of instructors is the security arrangement after the inquest some of the basis of procedures)
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    本文介绍了基于麦克风阵列的声源定位算法，给初学者有很大的帮助(This article describes the microphone array based sound source localization algorithm, a great help for beginners)
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  • duanshipingjunnengliang
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    2020-11-17 13:09:39下载
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  • matlab_pitch_tone
    基音提取并换算成音高,matlab程序，加入了优化的功能使得结果更好(Pitch extraction and converted into pitch, matlab program, joined the optimization of the function of making the results better)
    2020-11-29 22:49:28下载
    积分：1
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