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Volumn 14, Issue 7, 2007, Pages 489-491

Noise-robust speech recognition using top-down selective attention with an HMM classifier

Author keywords

Hidden Markov model (HMM); Selective attention; Speech recognition

Indexed keywords

CONSTRAINT THEORY; HIDDEN MARKOV MODELS; SIGNAL FILTERING AND PREDICTION; SIGNAL TO NOISE RATIO; SPEECH PROCESSING;

EID: 34347375731     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2006.891326     Document Type: Article
Times cited : (19)

References (8)
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    • (1999) IEEE Trans. Speech Audio Process , vol.7 , Issue.1 , pp. 55-69
    • Kim, D.-S.1    Lee, S.-Y.2    Kil, R.M.3
  • 3
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    • Treisman, A.1
  • 4
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    • Fukushima, K.1
  • 5
    • 0034247405 scopus 로고    scopus 로고
    • Out-of-vocabulary rejection based on selective attention model
    • K.-Y. Park and S.-Y. Lee, "Out-of-vocabulary rejection based on selective attention model," Neur. Process. Lett., vol. 12, pp. 41-48, 2000.
    • (2000) Neur. Process. Lett , vol.12 , pp. 41-48
    • Park, K.-Y.1    Lee, S.-Y.2
  • 6
    • 0036947934 scopus 로고    scopus 로고
    • Top-down attention to complement independent component analysis for blind signal separation
    • U.-M. Bae, H. M. Park, and S.-Y. Lee, "Top-down attention to complement independent component analysis for blind signal separation," Neurocomputing, vol. 49, pp. 315-327, 2002.
    • (2002) Neurocomputing , vol.49 , pp. 315-327
    • Bae, U.-M.1    Park, H.M.2    Lee, S.-Y.3
  • 7
    • 0031100269 scopus 로고    scopus 로고
    • Robust speech recognition based on joint model and feature space optimization of hidden Markov model
    • Mar
    • S. Moon and J. N. Hwang, "Robust speech recognition based on joint model and feature space optimization of hidden Markov model," IEEE Trans. Neural Netw., vol. 8, no. 2, pp. 194-204, Mar. 1997.
    • (1997) IEEE Trans. Neural Netw , vol.8 , Issue.2 , pp. 194-204
    • Moon, S.1    Hwang, J.N.2
  • 8
    • 84987702417 scopus 로고    scopus 로고
    • The aurora experimental framework for the performance evaluation of speech recognition systems under noisy conditions
    • D. Pearce and H. G. Hirsch, "The aurora experimental framework for the performance evaluation of speech recognition systems under noisy conditions," in Proc. ICSLP, 2000, pp. 29-32.
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    • Pearce, D.1    Hirsch, H.G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.