期刊文献+

歌唱人声分离算法改进研究 被引量:1

Research in the Improvement of Singing Voice Separation Algorithm
下载PDF
导出
摘要 歌唱人声分离具有广阔的市场应用前景,但是它的真正实现需要解决目前速率低和硬件要求高的难题。本算法综合考虑乐音信号和人声信号的特点,对过去的算法进行了一些修改,使主旋律提取和人声分离的各个步骤相互补偿。在此基础上,本算法还采取了结构复用、减少迭代和去除功能的思路,提升运行效率。并在MIR-1K数据库样本上进行计算机仿真实验,证实本算法在性能上达到了预期目的。 Singing voice separation has a promising marketing prospect for application, but the problems, including low speed and high hardware requirement, need to be solved before it can be realized. Considering the characteristics of music signal and vocal signal, the traditional algorithm is modified. Each procedure in melody extraction and vocal separation com- pensates each other. Moreover, this algorithm is optimized aiming at improving efficiency by reusing components, reducing iterations and eliminating functions. After computer simulation on MIR-1 K dataset, it is verified that the algorithm' s im- provement in performance achieves the desired effect.
作者 汤政
出处 《电声技术》 2013年第12期61-65,共5页 Audio Engineering
关键词 人声源分离 效率提升 计算听觉场景分析 计算机仿真 vocal source separation efficiency improvement computational auditory scene analysis computer simulation
  • 相关文献

参考文献12

  • 1LI Y,WANG D. Separation of singing voice from music accompaniment for monaural recordings[J].Proceedings of the IEEE International Conference on Acoustics Speech and Signal Processing,2007,(04):1475-1486.
  • 2EVERY M R,SZYMANSKI J E. A spectral-filtering approach to musical signal separation[A].Naples,Italy:[s.n.],2004.197-200.
  • 3HSU G,WANG D,JANG J. A tandem algorithm for singing pitch extraction and voice separation from music accompaniment[J].IEEE Transactions on Audio Speech and Language Processing,2012,(05):1482-1491.
  • 4PAIVA R P,MENDES T,CARDOSO A. An auditory model based approach for melody detection in polyphonic musical recordings[J].The Second International Conference on Computer Music Modeling and Retrieval,2005,(3310):21-40.
  • 5DUONG N Q K,TACHIBANA H,VINCENT E. Multichannel harmonic and percussive component separation by joint modeling of spatial and spectral continuity[A].[S.l.]:IEEE Press,2011.205-208.
  • 6SUTTON C. Transcription of vocal melodies in popular music[D].London:Department of Electronic Engineering,Queen Mary,University of London,2006.
  • 7ZOLZER U. DAFX:digital audio effects[M].West Sussex:John Wiley & Sons,2002.
  • 8SLANEY M. Auditory toolbox[OL].http://www.slaney.org/malcolm/pubs.html,2013.
  • 9HU G,WANG D. Monaural speech segregation based on pitch tracking and amplitude modulation[J].{H}IEEE Transactions on Neural Networks,2004,(05):1135-1150.
  • 10RYYNANEN M,KLAPURI A. Transcription of the singing melody in polyphonic music[A].Victoria,Canada:[s.n.],2006.222-227.

二级参考文献5

  • 1SCHEIRER E, SLANER M. Construction and evaluation of a robust multifeature speech/music discriminator[C]// Proceedings of International Conference on Acoustics, Speech,and Signal Processing. Munich:IEEE Press, 1997, 2:1331-1334.
  • 2PINQUIER J, ROUAS J L, ANDRE-OBRECHT R. A fusion study in speech/music classification[C]//Proceedings of International Conference on Acoustics, Speech, and Signal Processing. Hong Kong :IEEE Press, 2003,2 : 17-20.
  • 3SCHULLER B, SCHMITT B J B, ARSIC D, et al. Feature selection and stacking for robust discrimination of speech, monophonic singing, and polyphonic music[C]// Proceedings of International Conference on Multimedia and Expo. Amsterdam:IEEE Press, 2005:840-843.
  • 4ABU-EL-QURAN A R, GOUBRAN R A. Adaptive pitchbased speech detection for hands-free applications[C]// Proceedings of International Conference on Acoustics, Speech, and Signal Processing. Philadelphia:IEEE Press, 2005,3 : 305-308.
  • 5RODRIGUEZ J, RIOS F, ESCANO-QUERO R, et al. Adaptive method for SNR estimation in speech signal Electronics Letters, 1996(12) :421-422.

共引文献2

同被引文献2

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部