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Volumn , Issue , 2007, Pages 3247-3250

Measuring dependence of bin-wise separated signals for permutation alignment in frequency-domain BSS

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; CORRELATION METHODS; FREQUENCY DOMAIN ANALYSIS;

EID: 34548827363     PISSN: 02714310     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iscas.2007.378164     Document Type: Conference Paper
Times cited : (124)

References (14)
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    • Douglas, S.C.1    Sawada, H.2    Makino, S.3
  • 5
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    • Separating convolutive mixtures with TRINICON
    • May
    • W. Kellermann, H. Buchner, and R. Aichner, "Separating convolutive mixtures with TRINICON," in Proc. ICASSP 2006, vol. V, May 2006, pp. 961-964.
    • (2006) Proc. ICASSP 2006 , vol.5 , pp. 961-964
    • Kellermann, W.1    Buchner, H.2    Aichner, R.3
  • 6
    • 0032212942 scopus 로고    scopus 로고
    • Blind separation of convolved mixtures in the frequency domain
    • P. Smaragdis, "Blind separation of convolved mixtures in the frequency domain," Neurocomputing, vol. 22, pp. 21-34, 1998.
    • (1998) Neurocomputing , vol.22 , pp. 21-34
    • Smaragdis, P.1
  • 7
    • 0000914334 scopus 로고    scopus 로고
    • Convolutive blind separation of non-stationary sources
    • May
    • L. Parra and C. Spence, "Convolutive blind separation of non-stationary sources," IEEE Trans. Speech Audio Processing, vol. 8, no. 3, pp. 320-327, May 2000.
    • (2000) IEEE Trans. Speech Audio Processing , vol.8 , Issue.3 , pp. 320-327
    • Parra, L.1    Spence, C.2
  • 8
    • 0003371952 scopus 로고    scopus 로고
    • Amplitude modulation decorrelation for convolutive blind source separation
    • June
    • J. Anemüller and B. Kollmeier, "Amplitude modulation decorrelation for convolutive blind source separation," in Proc. ICA 2000, June 2000, pp. 215-220.
    • (2000) Proc. ICA 2000 , pp. 215-220
    • Anemüller, J.1    Kollmeier, B.2
  • 9
    • 0035659640 scopus 로고    scopus 로고
    • An approach to blind source separation based on temporal structure of speech signals
    • Oct
    • N. Murata, S. Ikeda, and A. Ziehe, "An approach to blind source separation based on temporal structure of speech signals," Neurocomputing, vol. 41, pp. 1-24, Oct. 2001.
    • (2001) Neurocomputing , vol.41 , pp. 1-24
    • Murata, N.1    Ikeda, S.2    Ziehe, A.3
  • 10
    • 4344579404 scopus 로고    scopus 로고
    • A robust and precise method for solving the permutation problem of frequency-domain blind source separation
    • Sept
    • H. Sawada, R. Mukai, S. Araki, and S. Makino, "A robust and precise method for solving the permutation problem of frequency-domain blind source separation," IEEE Trans. Speech Audio Processing, vol. 12, no. 5, pp. 530-538, Sept. 2004.
    • (2004) IEEE Trans. Speech Audio Processing , vol.12 , Issue.5 , pp. 530-538
    • Sawada, H.1    Mukai, R.2    Araki, S.3    Makino, S.4
  • 12
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    • Frequency domain blind source separation using small and large spacing sensor pairs
    • May
    • R. Mukai, H. Sawada, S. Araki, and S. Makino, "Frequency domain blind source separation using small and large spacing sensor pairs," in Proc. ISCAS 2004, vol. V, May 2004, pp. 1-4.
    • (2004) Proc. ISCAS 2004 , vol.5 , pp. 1-4
    • Mukai, R.1    Sawada, H.2    Araki, S.3    Makino, S.4
  • 13
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    • Solution of permutation problem in frequency domain ICA using multivariate probability density functions
    • Springer, Mar
    • A. Hiroe, "Solution of permutation problem in frequency domain ICA using multivariate probability density functions," in Proc. ICA 2006 (LNCS 3889). Springer, Mar. 2006, pp. 601-608.
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    • Hiroe, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.