메뉴 건너뛰기




Volumn , Issue , 2009, Pages 4597-4600

Robust two-channel TDOA estimation for multiple speaker localization by using recursive ICA and a state coherence transform

Author keywords

Blind source separation (BSS); Independent component analysis (ICA); Multiple speaker localization; TDOA estimation

Indexed keywords

DE-MIXING; FREQUENCY DOMAINS; LOW SNR; MULTIPLE SPEAKER LOCALIZATION; NOVEL METHODS; PHASE COHERENCE; REVERBERANT ENVIRONMENT; REVERBERATION TIME; SPARSE REPRESENTATION; SPEAKER LOCALIZATION; TDOA ESTIMATION; TIME DIFFERENCE OF ARRIVAL; TIME FREQUENCY; TIME-BLOCK; TWO CHANNEL;

EID: 70349203006     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2009.4960654     Document Type: Conference Paper
Times cited : (7)

References (8)
  • 1
    • 40949145095 scopus 로고    scopus 로고
    • H. Sawada, S. Araki, R. Mukai, and S. Makino, Grouping separated frequency components by estimating propagation model parameters in frequency-domain blind source separation, IEEE Transactions on Audio, Speech, and Language Processing, 15, no. 5, pp. 1592-1604, July 2007.
    • H. Sawada, S. Araki, R. Mukai, and S. Makino, "Grouping separated frequency components by estimating propagation model parameters in frequency-domain blind source separation," IEEE Transactions on Audio, Speech, and Language Processing, vol. 15, no. 5, pp. 1592-1604, July 2007.
  • 2
    • 67149125934 scopus 로고    scopus 로고
    • A novel robust solution to the permutation problem based on a joint multiple TDOA estimation
    • Seattle, USA, Sept
    • F. Nesta, M. Omologo, and P. Svaizer, "A novel robust solution to the permutation problem based on a joint multiple TDOA estimation," in Proceedings of IWAENC, Seattle, USA, Sept. 2008.
    • (2008) Proceedings of IWAENC
    • Nesta, F.1    Omologo, M.2    Svaizer, P.3
  • 3
    • 50449095895 scopus 로고    scopus 로고
    • Separating short signals in highly reverberant environment by a recursive frequency-domain BSS
    • Trento, Italy, May
    • F. Nesta, M. Omologo, and P. Svaizer, "Separating short signals in highly reverberant environment by a recursive frequency-domain BSS," in Proceedings of HSCMA, Trento, Italy, May 2008.
    • (2008) Proceedings of HSCMA
    • Nesta, F.1    Omologo, M.2    Svaizer, P.3
  • 4
    • 58049165976 scopus 로고    scopus 로고
    • Multiple TDOA estimation by using a state coherence transform for solving the permutation problem in frequency-domain BSS
    • Cancun, Mexico, Oct
    • F. Nesta, M. Omologo, and P. Svaizer, "Multiple TDOA estimation by using a state coherence transform for solving the permutation problem in frequency-domain BSS," in Proceedings of MLSP, Cancun, Mexico, Oct. 2008.
    • (2008) Proceedings of MLSP
    • Nesta, F.1    Omologo, M.2    Svaizer, P.3
  • 5
    • 52949139431 scopus 로고    scopus 로고
    • A BSS method for short utterances by a recursive solution to the permutation problem
    • Darmstadt, Germany, July
    • F. Nesta, P. Svaizer, and M. Omologo, "A BSS method for short utterances by a recursive solution to the permutation problem," in Proceedings of SAM, Darmstadt, Germany, July 2008.
    • (2008) Proceedings of SAM
    • Nesta, F.1    Svaizer, P.2    Omologo, M.3
  • 6
    • 33748604791 scopus 로고    scopus 로고
    • Y.S. Choi, H.C. Shin, andW.J. Song, Robust regularization for normalized LMS algorithms, IEEE Transaction on circuits and system, 53, no. 8, pp. 627-631, Aug. 2006.
    • Y.S. Choi, H.C. Shin, andW.J. Song, "Robust regularization for normalized LMS algorithms," IEEE Transaction on circuits and system, vol. 53, no. 8, pp. 627-631, Aug. 2006.
  • 7
    • 34547520353 scopus 로고    scopus 로고
    • Scaled natural gradient algorithms for instantaneous and convolutive blind source separation
    • Apr
    • S.C. Douglas and M. Gupta, "Scaled natural gradient algorithms for instantaneous and convolutive blind source separation," in Proceedings of ICASSP, Apr. 2007, vol. II, pp. 637-640.
    • (2007) Proceedings of ICASSP , vol.2 , pp. 637-640
    • Douglas, S.C.1    Gupta, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.