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pyAudioAnalysis-master

于 2016-09-22 发布 文件大小:46465KB
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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
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......................\....\.............\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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    P.863标准（POLQA）,语音质量的客观评测标准，是对P.862标准（PESQ）的升级，适应范围更广，评价结果更接近主观的MOS。(P.863 Standards (POLQA), objective voice quality uation standard is the standard P.862 (PESQ) upgrade, adapt a wider range of uation results closer to the subjective MOS.)
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    积分：1
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    2020-12-10 14:29:19下载
    积分：1
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