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Volumn 5, Issue 3, 1998, Pages 63-65

Speaker adaptation using discriminative linear regression on time-varying mean parameters in trended HMM

Author keywords

Hidden Markov model; Linear regression; Maximum likelihood; Minimum classification error; Speaker adaptation

Indexed keywords

ERROR ANALYSIS; LEARNING ALGORITHMS; MARKOV PROCESSES; MATHEMATICAL MODELS; PARAMETER ESTIMATION; POLYNOMIALS; REGRESSION ANALYSIS;

EID: 0032028378     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/97.661562     Document Type: Article
Times cited : (10)

References (8)
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    • Ayer, C.M.1    Hunt, M.J.2    Brookes, D.M.3
  • 2
    • 0028516022 scopus 로고
    • Speech recognition using hidden Markov models with polynomial regression functions as nonstationary states
    • L. Deng, M. Aksmanovic, X. Sun, and J. Wu, "Speech recognition using hidden Markov models with polynomial regression functions as nonstationary states," IEEE Trans. Speech Audio Processing, vol. 2, pp. 507-520, 1994.
    • (1994) IEEE Trans. Speech Audio Processing , vol.2 , pp. 507-520
    • Deng, L.1    Aksmanovic, M.2    Sun, X.3    Wu, J.4
  • 3
    • 0029288633 scopus 로고
    • Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models
    • C. J. Leggetter and P. C. Woodland, "Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models," Comput. Speech Lang., vol. 9, pp. 171-185, 1995.
    • (1995) Comput. Speech Lang. , vol.9 , pp. 171-185
    • Leggetter, C.J.1    Woodland, P.C.2
  • 4
    • 3643088089 scopus 로고
    • A study of speaker adaptation based on minimum classification error training
    • T. Matsui and S. Furui, "A study of speaker adaptation based on minimum classification error training," in Proc. EUROSPEECH, 1995, vol. 1, pp. 81-84.
    • (1995) Proc. EUROSPEECH , vol.1 , pp. 81-84
    • Matsui, T.1    Furui, S.2
  • 5
    • 0029747051 scopus 로고    scopus 로고
    • Speaker clustering and transformation for speaker adaptation in large-vocabulary speech recognition systems
    • M. Padmanabhan, L. Bahl, D. Nahamoo, and M. Picheny, "Speaker clustering and transformation for speaker adaptation in large-vocabulary speech recognition systems," in Proc. ICASSP, 1996, vol. 2, pp. 701-704.
    • (1996) Proc. ICASSP , vol.2 , pp. 701-704
    • Padmanabhan, M.1    Bahl, L.2    Nahamoo, D.3    Picheny, M.4
  • 6
    • 0030362775 scopus 로고    scopus 로고
    • The trended HMM with discriminative training for phonetic classification
    • C. Rathinavelu and L. Deng, "The trended HMM with discriminative training for phonetic classification," in Proc. ICSLP, 1996, vol. 2, pp. 1049-1052.
    • (1996) Proc. ICSLP , vol.2 , pp. 1049-1052
    • Rathinavelu, C.1    Deng, L.2
  • 7
    • 0029726519 scopus 로고    scopus 로고
    • An experimental study of acoustic adaptation algorithms
    • A. Sankar, L. Neumeyer, and M. Weintraub, "An experimental study of acoustic adaptation algorithms," in Proc. ICASSP, 1996, vol. 2, pp. 713-716.
    • (1996) Proc. ICASSP , vol.2 , pp. 713-716
    • Sankar, A.1    Neumeyer, L.2    Weintraub, M.3
  • 8
    • 0029770993 scopus 로고    scopus 로고
    • Minimum classification error training for a small amount of data enhanced by vector-field-smoothed Bayesian learning
    • J. Takahashi and S. Sagayama, "Minimum classification error training for a small amount of data enhanced by vector-field-smoothed Bayesian learning," in Proc. ICASSP, 1996, vol. 2, pp. 597-600.
    • (1996) Proc. ICASSP , vol.2 , pp. 597-600
    • Takahashi, J.1    Sagayama, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.