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Volumn 28, Issue 16, 2007, Pages 2264-2272

Factoring Gaussian precision matrices for linear dynamic models

Author keywords

Error distribution; Linear dynamic model; Precision matrix

Indexed keywords

COVARIANCE MATRIX; ERROR ANALYSIS; GAUSSIAN NOISE (ELECTRONIC); KALMAN FILTERS; PARAMETER ESTIMATION; SPEECH ANALYSIS;

EID: 35148836624     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2007.07.008     Document Type: Article
Times cited : (2)

References (19)
  • 1
    • 35148864142 scopus 로고    scopus 로고
    • Bilmes, J., 1997. A gentle tutorial of the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models. Tech. Rep. ICSI-TR-97-021, University of Berkeley.
  • 2
    • 0033677172 scopus 로고    scopus 로고
    • Bilmes, J., 2000. Factored sparse inverse covariance matrices. In: Proc. ICASSP.
  • 3
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm (with discussion)
    • Dempster A., Laird N., and Rubin D. Maximum likelihood from incomplete data via the EM algorithm (with discussion). J. Roy. Statist. Soc. B 39 (1977) 1-38
    • (1977) J. Roy. Statist. Soc. B , Issue.39 , pp. 1-38
    • Dempster, A.1    Laird, N.2    Rubin, D.3
  • 4
    • 35148879263 scopus 로고    scopus 로고
    • Digalakis, V., 1992. Segment-based stochastic models of spectral dynamics for continuous speech recognition. Ph.D. thesis, Boston University Graduate School.
  • 5
    • 0027681974 scopus 로고
    • ML estimation of a stochastic linear system with the EM algorithm and its application to speech recognition
    • Digalakis V., Rohlicek J., and Ostendorf M. ML estimation of a stochastic linear system with the EM algorithm and its application to speech recognition. IEEE Trans. Speech Audio Process. 1 4 (1993) 431-442
    • (1993) IEEE Trans. Speech Audio Process. , vol.1 , Issue.4 , pp. 431-442
    • Digalakis, V.1    Rohlicek, J.2    Ostendorf, M.3
  • 6
    • 34547549792 scopus 로고    scopus 로고
    • Speech recognition using linear dynamic models
    • Frankel J., and King S. Speech recognition using linear dynamic models. IEEE Trans. Speech Audio Process. 15 1 (2007) 246-256
    • (2007) IEEE Trans. Speech Audio Process. , vol.15 , Issue.1 , pp. 246-256
    • Frankel, J.1    King, S.2
  • 7
    • 0032638856 scopus 로고    scopus 로고
    • Semi-tied covariance matrices for hidden Markov models
    • Gales M. Semi-tied covariance matrices for hidden Markov models. IEEE Trans. Speech Audio Process. 7 3 (1999) 272-281
    • (1999) IEEE Trans. Speech Audio Process. , vol.7 , Issue.3 , pp. 272-281
    • Gales, M.1
  • 9
    • 35148871417 scopus 로고    scopus 로고
    • Lamel, L., Kassel, R., Seneff, S., 1986. Speech database development: Design and analysis of the acoustic-phonetic corpus. In: Proc. Speech Recognition Workshop, Palo Alto, CA, pp. 100-109.
  • 10
    • 0028466072 scopus 로고
    • The importance of cepstral parameter correlations in speech recognition
    • Ljolje A. The importance of cepstral parameter correlations in speech recognition. Comput. Speech Lang. 8 (1994) 223-232
    • (1994) Comput. Speech Lang. , vol.8 , pp. 223-232
    • Ljolje, A.1
  • 11
    • 0347761233 scopus 로고    scopus 로고
    • A mixed-level switching dynamic system for continuous speech recognition
    • Ma J., and Deng L. A mixed-level switching dynamic system for continuous speech recognition. Comput. Speech Lang. 18 (2004) 49-65
    • (2004) Comput. Speech Lang. , vol.18 , pp. 49-65
    • Ma, J.1    Deng, L.2
  • 12
    • 35148840251 scopus 로고    scopus 로고
    • Macho, D., Nadeu, C., Jancovic, P. Rozinaj, G., Hernando, J., 1999. Comparison of time and frequency filtering and cepstral-time matrix approaches in ASR. In: Proc. Eurospeech, Budapest, Hungary, pp. 77-80.
  • 13
    • 0024621174 scopus 로고
    • On estimation of entropy and mutual information of continuous distributions
    • Moddemeijer R. On estimation of entropy and mutual information of continuous distributions. Signal Process. 16 3 (1989) 233-246
    • (1989) Signal Process. , vol.16 , Issue.3 , pp. 233-246
    • Moddemeijer, R.1
  • 14
    • 0742272654 scopus 로고    scopus 로고
    • Modeling inverse covariance matrices by basis expansion
    • Olsen P., and Gopinath R. Modeling inverse covariance matrices by basis expansion. IEEE Trans. Speech Audio Process. 12 1 (2004) 37-46
    • (2004) IEEE Trans. Speech Audio Process. , vol.12 , Issue.1 , pp. 37-46
    • Olsen, P.1    Gopinath, R.2
  • 15
    • 84937741903 scopus 로고
    • Solutions to the linear smoothing problem
    • Rauch H.E. Solutions to the linear smoothing problem. IEEE Trans. Automat. Control 8 (1963) 371-372
    • (1963) IEEE Trans. Automat. Control , vol.8 , pp. 371-372
    • Rauch, H.E.1
  • 16
    • 35148858181 scopus 로고    scopus 로고
    • Rosti, A.-V., 2004. Linear Gaussian models for speech recognition. Ph.D. thesis, Machine Intelligence Laboratory, University of Cambridge.
  • 17
    • 35148853760 scopus 로고    scopus 로고
    • Rosti, A., Gales, M., 2001. Generalised linear Gaussian models. Tech. Rep. CUED/F-INFENG/TR.420, Cambridge University Engineering.
  • 18
    • 0033556862 scopus 로고    scopus 로고
    • A unifying review of linear Gaussian models
    • Roweis S., and Ghahramani Z. A unifying review of linear Gaussian models. Neural Comput. 11 2 (1999)
    • (1999) Neural Comput. , vol.11 , Issue.2
    • Roweis, S.1    Ghahramani, Z.2
  • 19
    • 35148869756 scopus 로고    scopus 로고
    • Young, S., 1995. Large vocabulary continuous speech recognition: A review. In: Proc. IEEE Workshop on Automatic Speech Recognition and Understanding, Snowbird, Utah, pp. 3-28.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.