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单频点频域卷积混合盲分离技术 被引量:1

Frequency-Domain Separation of Convolutive Mixtures Using a Single Frequency Bin
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摘要 在双频点频域卷积混合盲分离算法的基础上,提出一种单频点频域卷积混合盲分离算法.通过恰当地选取频域盲分离中短时傅里叶变换(STFT)的参数,可仅依靠一个频率片上的分离信号来完成双频点算法.相对于传统频域卷积混合盲分离方法,该方法不受各频率片顺序不确定性不统一及比例不确定性不统一的影响.仿真实验证明了该算法的有效性. In this paper, a novel frequency domain separation algorithm using only one frequency bin for the convolutive mixtures of sources is proposed. The method is a variation of the double-frequency-bin based separation for convolutive mixtures in which the parameters of short time Fourier transform should be selected appropriately. Since only one frequency bin is used, the proposed method involves neither inconsistency of scale indeterminacy nor permutation indeterminacy between different frequency bins in traditional frequency domain separation of convolutive mixtures. Simulation experiments show validity of the proposed singlefrequency-bin based separation algorithm for convolutive mixtures.
作者 方勇 王超
出处 《上海大学学报(自然科学版)》 CAS CSCD 北大核心 2007年第4期357-362,共6页 Journal of Shanghai University:Natural Science Edition
基金 国家自然科学基金资助项目(60472103) 上海市优秀学科带头人项目(05XP14027) 高等学校博士学科点专项科研基金资助项目(20060280003)
关键词 卷积混合 双频点频域卷积混合盲分离 单频点频域卷积混合盲分离 convolutive mixtures two-frequency-bins based separation single-frequency-bin based separation
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参考文献14

  • 1CHOI S,CICHOCKI A,PARK H M,et al.Blind source separation and independent component analysis:A Review[J].Neural Information Processing-Letters and Reviews,2005,6(1):1-56.
  • 2BUCHNER H,AICHNER R,KELLERMANN W.A generalization of blind source separation algorithms for convolutive mixtures based on second-order statistics[J].IEEE Transaction on Speech and Audio Processing,2005,13(1):120-134.
  • 3GEORGIEV P,CICHOCKI A.Multichannel blind deconvolution of colored signals via eigenvalue decomposition[C]// Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing.2001:273-276.
  • 4COMON P,MOREAU E.Blind MIMO equalization and joint-diagonalization criteria[ C]// IEEE Proceedings of International conference on Acoustics,Speech,and Signal Processing (ICASSPP' 01).2001,5:2749-2752.
  • 5PARRA L,SPENCE C.Convolutive blind separation of non-stationary sources[ J ].IEEE Trans on Speech and Audio Processing,2000,8(3):320-327.
  • 6ARAKI S,MAKINO S,NISHIKAWA T,et al.Fundamental limitation of frequency domain blind source separation for convolutive mixture of speech[ J].IEEE Trans on Speech and Audio Processing,2003,11(2):109-116.
  • 7SARUWATARI H,KAWAMURA T,SHIKANO K.Fast-convergence algorithm for ICA-based blind source separation using array signal processing[C]//IEEE Proceedings of the 11th IEEE signal Processing Workshop on Statistical Signal Processing.2001:464-467.
  • 8SARUWATARI H,KAWAMURA T,SHIKANO K.Evaluation of fast-convergence algorithm for blind source separation of real convolutive mixture[ C ]// IEEE Proceedings of the 6th International Conference on Signal Processing (ICSP' 02).2002:346-349.
  • 9ANEMULLER J,KOLLMEIER B.Amplitude modulation decorrelation for convolutive blind source separation[ C ]//Proceedings of the Second International Workshop on Independent Component Analysis and Blind Signal Separation.2000:215-220.
  • 10MURATA N,IKEDA S,ZIEHE A.An approach to blind source separation based on temporal structure of speech signals[J].Neurocomputing,2001,41:1-24.

同被引文献13

  • 1Hyvarinen A, Karhunen J, Oja E. Independent component analysis [M]. New York:John Wiley Ltd,2001.
  • 2S. Bellini. Bussgang techniques for blind deconvolution and equalization. In S. Haykin, editor, Blind Deconvolution, pages 8-59. Prentice Hall, 1994.
  • 3S. Haykin, editor. Unsupervised Adaptive Filtering, Vol.2: Blind Deconvolution. Wiley, 2000.
  • 4A. Nandi, editor. Blind Estimation Using Higher-Order Statistics. Kluwer, 1999.
  • 5Rajkishore Prasad, Hiroshi Saruwatari, Akinov Lee and Kiyohiro Shikano, A fixed point ICA algorithm for convoluted speech separation.[J]Proc. International Symposium ICA & BSS, 2003:579-584.
  • 6Herbert Buchner, Robert Aichner, and Walter Kellermann. A Generalization of Blind Source Separation Algorithms for Convolutive Mixtures Based on Second-Order Statistics[J], IEEE Transactions On Speech And Audio Processing, Vol. 13, No, 1,Jan. 2005.
  • 7L.Tong,et al.AMUSE,A new blind identifiability algorithm.Proc. IEEE ISCAS,499-509,1990.
  • 8DT Pham,Ch.Serviere and H.Boumaraf. Blind separation of convolutive audio mixtures using non-stationary[J].Proceeding of ICA 2003 Conference.2003.3:975-980.
  • 9E. Visser and T. W. Lee, Speech enhancement using blind source separation and two channel energy based speaker detection[J].IEEE Int. Conf. on Acoust., Speech, and Signal Process., vol. 1, April 2003:884-887.
  • 10Pedersen M S, Wang D et a.l Separating underdetermined convolutive speech mixtures [J].ICA2006, 3889: 674-681.

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