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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

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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......................\....\.............\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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  • 49759
    验证码小识别源码程序,结合易语言位图支持库,调用易语言模块实现验证码识别。(Little recognition source code program , combined with easy language bitmap support library , call easy language module verification code recognition .)
    2015-03-23 19:50:31下载
    积分:1
  • dtw
    本资料是自己编写的基于MATLAB语音工具箱的DTW动态时间规整的说话人识别,具有很高的识别率(This information is written in their own voice-based MATLAB toolbox DTW dynamic time warping speaker recognition with high recognition rate)
    2010-03-03 14:34:17下载
    积分:1
  • mfcc
    mfcc.m 用于语音识别上的mfcc特征参数提取函数。(mfcc.m mfcc characteristic parameters for speech recognition on the extraction function.)
    2021-03-28 02:09:11下载
    积分:1
  • Speech-enhancement
    语音增强的MATLAB代码 基于谱减法的语音增强系统(Speech enhancement of MATLAB code)
    2020-10-20 11:57:24下载
    积分:1
  • TPCALDAAh
    这是自己毕业设计做的PCA和LDA的结合,训练和识别别过程都有,用的是ORL库里的图像,具有较高的识别率! (This is a combination of PCA and LDA graduation design, training and do the process of the identification with ORL library of images, has a high recognition rate!)
    2012-07-19 11:21:01下载
    积分:1
  • tibaoluo
    基于倒谱短时部分反映了语音的声道特性,先用汉明窗取一帧语音,然后经变换得到语音倒谱,将倒谱短时部分取出,进行正交反变换后将得到声道的对数谱,即得到语音频谱的包络。将频谱包络和频谱画在一张图上,有很好的对比效果。获取的包络效果十分好。(Based Cepstral partly reflects the short channel characteristics of the speech, first take a Hamming window with a frame of speech, and speech cepstrum obtained by converting the cepstrum short segment out inverse orthogonal transform to obtain channel will of the spectrum, i.e. to obtain the envelope of the speech spectrum. The spectral envelope and spectral painted on a chart, there is a good contrast. Get the envelope effect is very good.)
    2013-11-01 14:13:17下载
    积分:1
  • EMOTION-RECOGNITION-OF-SPEECH
    特定人语音情感识别系统 关键词:语音信号,情感特征,情感识别 含论文、源代码、实验数据等( EMOTION RECOGNITION OF SPEECH BASED ON MATLAB Keywords:Speech Signal,Emotional Feature,Emotion Recognition)
    2012-05-02 10:10:52下载
    积分:1
  • WienerScalart
    单点定位的滤波程序,可以获得速度信息和位置信息,这是一个滤波程序,对语音信号滤波。(A single point positioning of the filtering process, get the speed of information and location information,this is a wiener filtering process to filter the speech signal.)
    2017-02-07 20:28:29下载
    积分:1
  • Project1
    将wav格式文件转化为txt格式的程序,用于读入语音文件转换TXT格式,便于程序分析(Wav format files into txt format program)
    2013-10-05 16:50:38下载
    积分:1
  • OLA
    编写一Matlab函数,用30ms三角窗和15ms帧移计算语音信号的STFT。并用OLA法重建原始信号。设计一种基于OLA的综合方法,以通过重复每帧对语音信号以因子2进行时域扩展。(Write a Matlab function, STFT and 30ms triangular window and 15ms frame-shift calculation of the speech signal. And the OLA method to reconstruct the original signal. Design an integrated approach based on OLA, by repeating each frame of the speech signal by a factor of 2 when the domain extension.)
    2012-04-18 10:49:23下载
    积分:1
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