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Volumn , Issue , 2006, Pages 1254-1259

Rao-blackwellized particle filtering for sequential speech enhancement

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN NOISE (ELECTRONIC); KALMAN FILTERS; PARAMETER ESTIMATION; SIGNAL PROCESSING;

EID: 40649119029     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (14)
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    • (2000) Journal of VLSI Signal Processing , vol.26 , Issue.1-2 , pp. 25-38
    • Choi, S.1    Cichocki, A.2    Amari, S.3
  • 3
    • 84879402012 scopus 로고    scopus 로고
    • Rao-Blackwellised particle filtering for fault diagnosis
    • N. de Freitas, "Rao-Blackwellised particle filtering for fault diagnosis," in IEEE Aerospace Conf, 2001, pp. 1767-1772.
    • (2001) IEEE Aerospace Conf , pp. 1767-1772
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  • 4
    • 0001460136 scopus 로고    scopus 로고
    • On sequential Monte Carlo sampling methods for Bayesian filtering
    • A. Doucet, S. Godsill, and C. Andrieu, "On sequential Monte Carlo sampling methods for Bayesian filtering," Statistics and Computing, vol. 10, pp. 197-208, 2000.
    • (2000) Statistics and Computing , vol.10 , pp. 197-208
    • Doucet, A.1    Godsill, S.2    Andrieu, C.3
  • 5
    • 0033079966 scopus 로고    scopus 로고
    • Recursive expectation-maximization (EM) algorithms for time-varying parameters with applications to multiple target tracking
    • L. Frenkel and M. Feder, "Recursive expectation-maximization (EM) algorithms for time-varying parameters with applications to multiple target tracking," IEEE Trans. Signal Pmcessing, vol. 47, pp. 306-320, 1999.
    • (1999) IEEE Trans. Signal Pmcessing , vol.47 , pp. 306-320
    • Frenkel, L.1    Feder, M.2
  • 6
    • 0032123744 scopus 로고    scopus 로고
    • Iterative and sequential Kalman filter-based speech enhancement algorithms
    • S. Gannot, D. Burshtein, and E. Weinstein, "Iterative and sequential Kalman filter-based speech enhancement algorithms," IEEE Trans. Speech and Audio Processing, vol. 6, pp. 373-385, 1998.
    • (1998) IEEE Trans. Speech and Audio Processing , vol.6 , pp. 373-385
    • Gannot, S.1    Burshtein, D.2    Weinstein, E.3
  • 8
    • 0024679985 scopus 로고
    • Quality improvement of LPC-processed noisy speech by using spectral subtraction
    • G. S. Kang and L. J. Fransen, "Quality improvement of LPC-processed noisy speech by using spectral subtraction," IEEE Trans. Acoustics, Speech, and Signal Processing, vol. 37, pp. 939-943, 1989.
    • (1989) IEEE Trans. Acoustics, Speech, and Signal Processing , vol.37 , pp. 939-943
    • Kang, G.S.1    Fransen, L.J.2
  • 9
    • 0030304310 scopus 로고    scopus 로고
    • Monte Carlo filter and smoother for non-Gaussian nonlinear state space models
    • G. Kitagawa, "Monte Carlo filter and smoother for non-Gaussian nonlinear state space models," Journal of Computational and Graphical Statistics, vol. 5, pp. 1-25, 1996.
    • (1996) Journal of Computational and Graphical Statistics , vol.5 , pp. 1-25
    • Kitagawa, G.1
  • 10
    • 0023206946 scopus 로고
    • A speech enhancement method based on Kalman filtering
    • K. K. Paliwal and A. Basu, "A speech enhancement method based on Kalman filtering," in Proc. ICASSP, 1987, pp. 177-180.
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    • Paliwal, K.K.1    Basu, A.2
  • 12
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    • Recursive parameter estimation using incomplete data
    • D. M. Titterington, "Recursive parameter estimation using incomplete data," Journal of the Royal Statistical Society, vol. 46, pp. 257-267, 1984.
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    • Titterington, D.M.1
  • 14
    • 40649085986 scopus 로고    scopus 로고
    • Generating generalized exponentially distributed random variates with transformed density rejection and ratio-of-uniform methods,
    • Master's thesis, Virginia Polytechnic Institute and State University
    • Y. Yang, "Generating generalized exponentially distributed random variates with transformed density rejection and ratio-of-uniform methods," Master's thesis, Virginia Polytechnic Institute and State University, 2004.
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    • Yang, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.