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Volumn 1, Issue 4, 1993, Pages 431-442

ML Estimation of a Stochastic Linear System with the EM Algorithm and Its Application to Speech Recognition

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA COMMUNICATION SYSTEMS; DATABASE SYSTEMS; ITERATIVE METHODS; LINEAR CONTROL SYSTEMS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; SPEECH ANALYSIS; SPEECH RECOGNITION; STATE SPACE METHODS; STATISTICAL METHODS; VECTORS;

EID: 0027681974     PISSN: 10636676     EISSN: None     Source Type: Journal    
DOI: 10.1109/89.242489     Document Type: Article
Times cited : (194)

References (34)
  • 1
    • 85041932998 scopus 로고
    • Maximum likelihood identification of gaussian autoregressive moving average models
    • H. Akaike, “Maximum likelihood identification of gaussian autoregressive moving average models,” Biometrica, vol, 60, no. 2, pp. 255–265, 1973.
    • (1973) Biometrica , vol.60 , Issue.2 , pp. 255-265
    • Akaike, H.1
  • 4
    • 0000353178 scopus 로고
    • A maximization technique in the statistical analysis of probabilistic functions of finite state Markov chains
    • L. E. Baum, T. Petrie, G. Soules, and N. Weiss, “A maximization technique in the statistical analysis of probabilistic functions of finite state Markov chains,” Ann. Math. Stat., vol. 41, pp. 164–171, 1970.
    • (1970) Ann. Math. Stat. , vol.41 , pp. 164-171
    • Baum, L.E.1    Petrie, T.2    Soules, G.3    Weiss, N.4
  • 7
    • 0002629270 scopus 로고
    • Maximum likelihood estimation from incomplete data
    • A. P. Dempster, N. M. Laird, and D. B. Rubin, “Maximum likelihood estimation from incomplete data,” J. Royal Stat. Soc. (B), vol. 39, no. 1, pp. 1–38, 1977.
    • (1977) J. Royal Stat. Soc. (B) , vol.39 , Issue.1 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 8
    • 0003938589 scopus 로고
    • Segment-based stochastic models of spectral dynamics for continuous speech recognition
    • Ph.D. dissertation, E.C.S. Department, Boston University
    • V. Digalakis, “Segment-based stochastic models of spectral dynamics for continuous speech recognition,” Ph.D. dissertation, E.C.S. Department, Boston University, 1992.
    • (1992)
    • Digalakis, V.1
  • 10
    • 0026991192 scopus 로고
    • Fast algorithms for phone classification and recognition using segment-based models
    • Dec
    • V. Digalakis, M. Ostendorf, and J.R. Rohlicek, “Fast algorithms for phone classification and recognition using segment-based models,” IEEE Trans. Signal Processing, vol. 40, pp. 2885–2896, Dec. 1992.
    • (1992) IEEE Trans. Signal Processing , vol.40 , pp. 2885-2896
    • Digalakis, V.1    Ostendorf, M.2    Rohlicek, J.R.3
  • 12
    • 0026205299 scopus 로고
    • Filtering of colored noise for speech enhancement and coding
    • Aug
    • J. D. Gibson, B. Koo, and S. D. Gray, “Filtering of colored noise for speech enhancement and coding,” IEEE Trans, on Signal Processing, vol. 39, pp. 1732–1742, Aug. 1991.
    • (1991) IEEE Trans, on Signal Processing , vol.39 , pp. 1732-1742
    • Gibson, J.D.1    Koo, B.2    Gray, S.D.3
  • 13
    • 0016333007 scopus 로고
    • Computational aspects of maximum likelihood estimation and reduction in sensitivity function calculations
    • Dec
    • N. K. Gupta and R. K. Mehra, “Computational aspects of maximum likelihood estimation and reduction in sensitivity function calculations,” IEEE Trans. Automatic Control, vol. AC-19, pp. 774–783, Dec. 1974.
    • (1974) IEEE Trans. Automatic Control , vol.AC-19 , pp. 774-783
    • Gupta, N.K.1    Mehra, R.K.2
  • 14
    • 0016939124 scopus 로고
    • Continuous speech recognition by statistical methods
    • Apr.
    • F. Jelinek, “Continuous speech recognition by statistical methods,” IEEE Proc., vol. 64, pp. 532–556, Apr. 1976.
    • (1976) IEEE Proc. , vol.64 , pp. 532-556
    • Jelinek, F.1
  • 15
    • 85024429815 scopus 로고
    • A new approach to linear filtering and prediction problems
    • Mar
    • R. E. Kalman, “A new approach to linear filtering and prediction problems,” Trans. ASME, Series D, J. Basic Eng., vol. 82, pp. 35-45 Mar. 1960.
    • (1960) Trans. ASME, Series D, J. Basic Eng. , vol.82 , pp. 35-45
    • Kalman, R.E.1
  • 16
    • 0014738795 scopus 로고
    • Maximum likelihood identification of stochastic linear systems
    • Feb
    • R. L. Kashyap, “Maximum likelihood identification of stochastic linear systems,” IEEE Trans. Automatic Control, vol. AC-15, pp. 25–34, Feb. 1970.
    • (1970) IEEE Trans. Automatic Control , vol.AC-15 , pp. 25-34
    • Kashyap, R.L.1
  • 17
    • 0025388113 scopus 로고
    • A linear predictive HMM for vector-valued observations with applications to speech recognition
    • Feb
    • P. Kenny, M. Lennig, and P. Mermelstein, “A linear predictive HMM for vector-valued observations with applications to speech recognition,” IEEE Trans, on Acoust., Speech, and Signal Proc., vol. ASSP-38, pp. 220–225, Feb. 1990.
    • (1990) IEEE Trans, on Acoust., Speech, and Signal Proc. , vol.ASSP-38 , pp. 220-225
    • Kenny, P.1    Lennig, M.2    Mermelstein, P.3
  • 18
    • 0002583871 scopus 로고
    • Speech database development: Design and analysis of the acoustic-phonetic corpus
    • Rep. No. SAIC-86/1546, Feb
    • L. F. Lamel, R. H. Kassel, and S. Seneff, “Speech database development: Design and analysis of the acoustic-phonetic corpus,” in Proc. DARPA Speech Reconition Workshop, Rep. No. SAIC-86/1546 pp. 100–109, Feb. 1986.
    • (1986) Proc. DARPA Speech Reconition Workshop , pp. 100-109
    • Lamel, L.F.1    Kassel, R.H.2    Seneff, S.3
  • 19
    • 0024768209 scopus 로고
    • Speaker-independent phone recognition using hidden Markov models
    • Nov
    • K. F. Lee and H. W. Hon, “Speaker-independent phone recognition using hidden Markov models,” IEEE Trans, on Acoust., Speech, and Signal Proc., vol. ASSP-37, pp. 1641–1648, Nov. 1989.
    • (1989) IEEE Trans, on Acoust., Speech, and Signal Proc. , vol.ASSP-37 , pp. 1641-1648
    • Lee, K.F.1    Hon, H.W.2
  • 20
    • 0025682327 scopus 로고
    • Word recognition using hidden control neural architecture
    • Albuquerque, NM, Apr.
    • E. Levin, “Word recognition using hidden control neural architecture,” in IEEE Int. Conf. Acoust., Speech, Signal Processing, pp. 433–436, Albuquerque, NM, Apr. 1990.
    • (1990) IEEE Int. Conf. Acoust., Speech, Signal Processing , pp. 433-436
    • Levin, E.1
  • 23
    • 7244255287 scopus 로고
    • Parameter Estimation
    • D. Q. Mayne, “Parameter Estimation,” Automatica, vol. 3, pp. 245–255, 1966.
    • (1966) Automatica , vol.3 , pp. 245-255
    • Mayne, D.Q.1
  • 25
    • 0024900279 scopus 로고
    • A stochastic segment model for phoneme-based continuous speech recognition
    • Dec
    • M. Ostendorf and S. Roukos, “A stochastic segment model for phoneme-based continuous speech recognition,” IEEE Trans. Acoust., Speech, and Signal Proc., vol. ASSP-37, pp. 1857–1869, Dec. 1989.
    • (1989) IEEE Trans. Acoust., Speech, and Signal Proc. , vol.ASSP-37 , pp. 1857-1869
    • Ostendorf, M.1    Roukos, S.2
  • 26
    • 0022435636 scopus 로고
    • Adaptive equalization
    • Sept
    • S.U.H. Qureshi, “Adaptive equalization,” IEEE Proc., vol. 73, pp. 1349–1387, Sept. 1985.
    • (1985) IEEE Proc. , vol.73 , pp. 1349-1387
    • Qureshi, S.U.H.1
  • 27
    • 0022712081 scopus 로고
    • A segmental fc-means training procedure for connected word recognition
    • May-June
    • L. R. Rabiner, J. G. Wilpon, and B.-H. Juang, “A segmental fc-means training procedure for connected word recognition,” AT&T Tech. J., pp. 21–40, May-June 1986.
    • (1986) AT&T Tech. J. , pp. 21-40
    • Rabiner, L.R.1    Wilpon, J.G.2    Juang, B.-H.3
  • 28
    • 21644483999 scopus 로고
    • Maximum likelihood estimates of linear dynamic systems
    • Aug
    • H. E. Rauch, F. Tung, and C. T. Striebel, “Maximum likelihood estimates of linear dynamic systems,” AIAA J., vol. 3, pp. 1445–1450, Aug. 1965.
    • (1965) AIAA J. , vol.3 , pp. 1445-1450
    • Rauch, H.E.1    Tung, F.2    Striebel, C.T.3
  • 30
    • 17444406387 scopus 로고
    • Maximum likelihood identification of state space models for linear dynamic systems
    • Rep. ESL-R-814, M.I.T., Cambridge, MA
    • N. R. Sandell, Jr., and K. I. Yared, “Maximum likelihood identification of state space models for linear dynamic systems,” Rep. ESL-R-814, Electron. Syst. Lab, M.I.T., Cambridge, MA, 1978.
    • (1978) Electron. Syst. Lab
    • Sandell, N.R.1    Yared, K.I.2
  • 31
    • 84986753417 scopus 로고
    • An approach to time series smoothing and forecasting using the EM algorithm
    • R. H. Shumway and D. S. Stoffer, “An approach to time series smoothing and forecasting using the EM algorithm,” J. Time Series Analysis, vol. 3, no. 4, pp. 253–264, 1982.
    • (1982) J. Time Series Analysis , vol.3 , Issue.4 , pp. 253-264
    • Shumway, R.H.1    Stoffer, D.S.2
  • 32
    • 0020087782 scopus 로고
    • Derivative computations for the log likelihood function
    • Feb
    • D. A. Wilson and A. Kumar, “Derivative computations for the log likelihood function,” IEEE Trans. Automatic Control, vol. AC-21, pp. 230–232, Feb. 1982.
    • (1982) IEEE Trans. Automatic Control , vol.AC-21 , pp. 230-232
    • Wilson, D.A.1    Kumar, A.2
  • 33
    • 85019542366 scopus 로고
    • The mean field theory in EM procedures for Markov random fields
    • Budapest, Hungary, June
    • J. Zhang and J. W. Modestino, “The mean field theory in EM procedures for Markov random fields,” in Proc. IEEE Int. Symp. Information Theory, Budapest, Hungary, 167–169, June 1991.
    • (1991) Proc. IEEE Int. Symp. Information Theory , pp. 167-169
    • Zhang, J.1    Modestino, J.W.2
  • 34
    • 0024922971 scopus 로고
    • Acoustic segmentation and phonetic classification in the SUMMIT system
    • Glasgow, Scotland, May
    • V. Zue, J. Glass, M. Philips, and S. Seneff, “Acoustic segmentation and phonetic classification in the SUMMIT system,” in IEEE Int. Conf Acoust., Speech, Signal Processing, pp. 389–392, Glasgow, Scotland, May 1989.
    • (1989) IEEE Int. Conf Acoust., Speech, Signal Processing , pp. 389-392
    • Zue, V.1    Glass, J.2    Philips, M.3    Seneff, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.