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Volumn 5, Issue 2, 1997, Pages 183-191

A Markov Random Field Approach to Bayesian Speaker Adaptation

Author keywords

Bayesian learning; MAP estimation; Markov random fields; Speaker adaptation; Speaker normalization

Indexed keywords

CORRELATION METHODS; ITERATIVE METHODS; LEARNING SYSTEMS; LOUDSPEAKERS; MARKOV PROCESSES; OPTIMIZATION; RECURSIVE FUNCTIONS; SIGNAL FILTERING AND PREDICTION; VECTORS;

EID: 0031103747     PISSN: 10636676     EISSN: None     Source Type: Journal    
DOI: 10.1109/89.554780     Document Type: Article
Times cited : (22)

References (16)
  • 1
    • 0028419019 scopus 로고
    • Maximum a posteriori estimation for muhivariate Gaussian mixture observations of Markov chains
    • Apr.
    • J. L. Gauvain and C. H. Lee, "Maximum a posteriori estimation for muhivariate Gaussian mixture observations of Markov chains," IEEE Trans. Speech Audio Processing, vol. 2, pp. 291-298, Apr. 1994.
    • (1994) IEEE Trans. Speech Audio Processing , vol.2 , pp. 291-298
    • Gauvain, J.L.1    Lee, C.H.2
  • 4
    • 0026400651 scopus 로고
    • Speaker adaptation in continuous speech recognition via estimation of correlated mean vectors
    • W. A. Rozzi and R. M. Stern, "Speaker adaptation in continuous speech recognition via estimation of correlated mean vectors," in Proc. ICASSP 1991. pp. 865-868.
    • (1991) Proc. ICASSP , pp. 865-868
    • Rozzi, W.A.1    Stern, R.M.2
  • 6
    • 33646934273 scopus 로고
    • A MRF approach to Bayesian speaker adaptation
    • IBM, Boca Raton, FL, Jan.
    • B. M. Shahshahani, "A MRF approach to Bayesian speaker adaptation," IBM, Boca Raton, FL, Tech. Rep. TR54.885, Jan. 1995.
    • (1995) Tech. Rep. TR54.885
    • Shahshahani, B.M.1
  • 7
    • 0021518209 scopus 로고
    • Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
    • Nov.
    • S. Geman and D. Geman, "Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images," IEEE Trans. Pattern Anal. Machine Inlell, vol. PAMI-6, pp. 721-741, Nov. 1984.
    • (1984) IEEE Trans. Pattern Anal. Machine Inlell , vol.PAMI-6 , pp. 721-741
    • Geman, S.1    Geman, D.2
  • 8
    • 0027624429 scopus 로고
    • A generalized Gaussian image model for edge-preserving MAP estimation
    • July
    • C. Bouman and K. Sauer, "A generalized Gaussian image model for edge-preserving MAP estimation," IEEE Trans. Image Processing, vol. 2, pp. 296-310, July 1993.
    • (1993) IEEE Trans. Image Processing , vol.2 , pp. 296-310
    • Bouman, C.1    Sauer, K.2
  • 9
    • 0000013152 scopus 로고
    • On the statistical analysis of dirty pictures
    • J. Besag, "On the statistical analysis of dirty pictures," J. Roy. Slat. Soc. B, pp. 4259-302, 1986.
    • (1986) J. Roy. Slat. Soc. B , pp. 4259-4302
    • Besag, J.1
  • 10
    • 33646897219 scopus 로고
    • MRFs and their applications
    • Providence, RI: Amer. Math. Soc.
    • R. Kindermann and J. L. Snell, "MRFs and their applications," in Contemporary Mathematics. Providence, RI: Amer. Math. Soc., 1980.
    • (1980) Contemporary Mathematics
    • Kindermann, R.1    Snell, J.L.2
  • 11
    • 0000913755 scopus 로고
    • Spatial interaction and the statistical analysis of lattice systems
    • J. Besag, "Spatial interaction and the statistical analysis of lattice systems," J. Roy. Slat. Soc. B. vol. 36, pp. 192-236, 1974.
    • (1974) J. Roy. Slat. Soc. B. , vol.36 , pp. 192-236
    • Besag, J.1
  • 12
    • 0003594381 scopus 로고
    • Pacific Grove, CA: Wadsworth & Brooks
    • G. Casella and R. L. Berger, Statistical Inference. Pacific Grove, CA: Wadsworth & Brooks, 1990, pp. 584-586.
    • (1990) Statistical Inference , pp. 584-586
    • Casella, G.1    Berger, R.L.2
  • 14
    • 0003387007 scopus 로고
    • Robust methods for using context-dependent features and methods in a continuous speech recognizer
    • L. R. Bahl et oJ.,"Robust methods for using context-dependent features and methods in a continuous speech recognizer," in Proc. ICASSP 1994.
    • (1994) Proc. ICASSP
    • Bahl, L.R.1
  • 16
    • 0028392841 scopus 로고
    • A multiscale random field model for Bayesian image segmentation
    • Mar.
    • C. A. Bouman and M. Shapiro, "A multiscale random field model for Bayesian image segmentation," IEEE Trans. Image Processing, vol. 3, pp. 162-177, Mar. 1994.
    • (1994) IEEE Trans. Image Processing , vol.3 , pp. 162-177
    • Bouman, C.A.1    Shapiro, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.