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哼歌识曲

于 2021-01-10 发布 文件大小:26704KB
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下载积分: 1 下载次数: 15

代码说明:

  通过语音分帧、端点检测、pitch提取、DTW算法,实现歌曲识别(Through voice framing, endpoint detection, pit extraction, DTW algorithm, song recognition is realized)

文件列表:

哼歌识曲\mfcc\buffer2.m, 451 , 2016-07-06
哼歌识曲\mfcc\DTWmat.m, 1001 , 2017-06-30
哼歌识曲\mfcc\fftOneSide.m, 1942 , 2017-06-25
哼歌识曲\mfcc\frame2mfcc.m, 1499 , 2017-06-30
哼歌识曲\mfcc\frame2pitch.m, 4873 , 2016-04-11
哼歌识曲\mfcc\frame2sampleIndex.m, 128 , 2016-07-06
哼歌识曲\mfcc\frame2volume.m, 310 , 2016-07-06
哼歌识曲\mfcc\freq2pitch.m, 64 , 2016-07-06
哼歌识曲\mfcc\getTriFilterBankParam.m, 1251 , 2006-04-17
哼歌识曲\mfcc\lin2melFreq.m, 425 , 2006-04-17
哼歌识曲\mfcc\mel2linFreq.m, 462 , 2006-04-17
哼歌识曲\mfcc\myAcf2pitch.m, 132 , 2016-07-06
哼歌识曲\mfcc\myFrame2acf.m, 203 , 2016-07-06
哼歌识曲\mfcc\PointDetect.m, 955 , 2016-07-06
哼歌识曲\mfcc\QIEYINGKUANG.m, 1330 , 2017-06-30
哼歌识曲\mfcc\R1.mfc, 1526 , 2017-06-30
哼歌识曲\mfcc\R1.wav, 320044 , 2017-06-30
哼歌识曲\mfcc\R2.mfc, 43442 , 2017-06-30
哼歌识曲\mfcc\R2.wav, 320044 , 2017-06-30
哼歌识曲\mfcc\R3.mfc, 44240 , 2017-06-30
哼歌识曲\mfcc\R3.wav, 240044 , 2017-06-30
哼歌识曲\mfcc\R4.mfc, 11202 , 2017-06-30
哼歌识曲\mfcc\R4.wav, 320044 , 2017-06-30
哼歌识曲\mfcc\R5.mfc, 31426 , 2017-06-30
哼歌识曲\mfcc\R5.wav, 400044 , 2017-06-30
哼歌识曲\mfcc\segmentFind.m, 582 , 2016-07-06
哼歌识曲\mfcc\Test1.m, 2058 , 2017-06-30
哼歌识曲\mfcc\Test1.wav, 320044 , 2017-06-30
哼歌识曲\mfcc\wave2pitch.m, 501 , 2017-06-25
哼歌识曲\mfcc\wave2record.m, 577 , 2016-07-09
哼歌识曲\mfcc\同桌的你.mfc, 1526 , 2017-06-30
哼歌识曲\mfcc\同桌的你.wav, 320044 , 2017-06-30
哼歌识曲\mfcc\回梦游仙.mfc, 43442 , 2017-06-30
哼歌识曲\mfcc\回梦游仙.wav, 320044 , 2017-06-30
哼歌识曲\mfcc\女儿情.mfc, 44240 , 2017-06-30
哼歌识曲\mfcc\女儿情.wav, 240044 , 2017-06-30
哼歌识曲\mfcc\彩虹.mfc, 11202 , 2017-06-30
哼歌识曲\mfcc\彩虹.wav, 320044 , 2017-06-30
哼歌识曲\mfcc\滴答.mfc, 31426 , 2017-06-30
哼歌识曲\mfcc\滴答.wav, 400044 , 2017-06-30
哼歌识曲\参考歌曲\同桌的你_不详_0.wav, 2973740 , 2012-03-31
哼歌识曲\参考歌曲\女儿情_不详_0.wav, 2687020 , 2012-03-31
哼歌识曲\参考歌曲\彩虹_不详_0.wav, 6299692 , 2012-04-05
哼歌识曲\参考歌曲\月亮代表我的心_不详_0.wav, 5185580 , 2012-04-05
哼歌识曲\参考歌曲\梦回游仙_不详_0.wav, 7397420 , 2012-04-05
哼歌识曲\参考歌曲\滴答_不详_0.wav, 8233004 , 2012-04-05
哼歌识曲\参考歌曲\知足_不详_0.wav, 4161580 , 2012-03-31
哼歌识曲\参考歌曲\突然好想你_不详_0.wav, 2433068 , 2012-03-31
哼歌识曲\参考歌曲\童话_不详_0.wav, 2850860 , 2012-03-31
哼歌识曲\端点检测\buffer2.m, 316 , 2017-06-20
哼歌识曲\端点检测\frame2sampleIndex.m, 266 , 2016-07-05
哼歌识曲\端点检测\frame2volume.m, 322 , 2017-04-11
哼歌识曲\端点检测\ly.m, 919 , 2017-06-30
哼歌识曲\端点检测\R0.m, 2520 , 2017-06-30
哼歌识曲\端点检测\SegmentFind.m, 711 , 2017-04-17
哼歌识曲\端点检测\同桌的你.wav, 320044 , 2017-06-30
哼歌识曲\端点检测\回梦游仙.wav, 320044 , 2017-06-30
哼歌识曲\端点检测\女儿情.wav, 240044 , 2017-06-30
哼歌识曲\端点检测\彩虹.wav, 320044 , 2017-06-30
哼歌识曲\端点检测\滴答.wav, 400044 , 2017-06-30
哼歌识曲\mfcc, 0 , 2017-06-30
哼歌识曲\参考歌曲, 0 , 2017-06-15
哼歌识曲\端点检测, 0 , 2017-06-30
哼歌识曲, 0 , 2018-01-22

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    积分:1
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    2020-06-30 12:20:02下载
    积分:1
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    提供了segmantal SNR及IS的计算代码,用于语音增强后评价用。(Provided segmantal SNR and IS calculation code for speech enhancement with post-evaluation.)
    2020-07-13 09:38:52下载
    积分:1
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    2020-12-29 15:29:00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
  • BSS_decomp
    辅助计算SDR 评测语音质量参数 评估语音质量的好坏(caculate SDR)
    2017-02-06 16:29:23下载
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  • Pattern-Recognition
    西奥多里蒂斯著,李晶皎译 本书系统阐述了模式识别的原理与方法,并在此基础上介绍了模式识别的应用。全书分为:基础部分和应用部分:基础部分主要包括统计模式识别、模糊模式识别、神经网络模式识别等内容;应用部分有车牌识别和语音识别。 (This paper discussed the principles and methods of pattern recognition, and based on this, the application of pattern recognition. Encyclopedia is divided into: basic part and application part: basic parts mainly include statistical pattern recognition, the fuzzy pattern recognition, neural network pattern recognition content Application part have license plate identification and voice recognition.)
    2011-09-13 03:36:34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.)
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    2021-01-03 18:08:56下载
    积分:1
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