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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
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......................\....\.............\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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0 个回复

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    1.进行含噪语音信号的时频分析 2.设计合适滤波器进行去噪 3.进行去噪后信号的时频分析4.设计一个混响器（用四个梳状滤波器和两个全通滤波器（下图所示））来产生回声（通过一个均衡器(Reverberation)
    2009-06-25 15:51:32下载
    积分：1
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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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    语音信号的盲源分离算法研究及应用，本程序利用matlab实现(Blind Source Separation Algorithm Research and Application of the voice signal, the program using matlab realize)
    2012-12-03 16:53:56下载
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    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
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    语音增强电子书，国外经典教材，自适应滤波，卡尔曼滤波，最小均方算法等等(speech enhancement ebook)
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    指纹预处理中的增强算法，matlab上面实现hong的gobar算法。(Pretreatment fingerprint enhancement algorithm, matlab above hong realize the gobar algorithm.)
    2008-05-21 18:53:34下载
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  • 35973510VAD-DTW-HMM
    基于动态时间规整与隐马尔科夫模型的自动语音识别系统(Automatic speech recognition system based on dynamic time warping and hidden Markov model)
    2017-12-14 20:49:03下载
    积分：1
  • chapter3_4
    计算语音的短时平均能量。可以作为清音和浊音的特征参数，可以作为有声无声的依据(Calculate the short-term average energy of speech. It can be used as a characteristic parameter of voiceless and unvoiced sounds, and as a basis for sound and silence.)
    2019-04-25 18:36:40下载
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    Get color from RGB 从RGB中获得颜色(Get color from RGB gets colors from RGB)
    2019-05-09 17:28:37下载
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  • The-FIR-filter-design
    （附带有文档，文档中有方案，有程序有结果，设计完后对一段语音进行处理）给定滤波器的规一化性能指标（参考指标,实际中依据每个同学所叠加噪声情况而定）通带截止频率wp=0.25*pi。 采用窗函数法设计低通、高通、带通型FIR滤波器，对叠加噪声前后的语音信号进行滤波处理，绘出滤波器的频域响应，绘出滤波后信号的时域波形和频谱，并对滤波前后的信号进行对比，分析信号的变化；在相同的性能指标下比较各方法的滤波效果，并从理论上进行分析((With the document, document, program, program results, the design after a voice) to set the filter rules of performance indicators (reference, practice, each student adding noise may be) passband cutoff frequency wp = 0.25* pi. Window function method to design low pass, high pass, band-pass FIR filter, filtering the voice signal before and after adding noise, draw the filter frequency response plot the time-domain waveform and spectrum of the filtered signal, and filtering the signal before and after comparison and analysis of signal changes the filtering effect of the various methods in the same performance indicators, and the theoretical analysis)
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