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Volumn , Issue , 2008, Pages 1789-1792

Speech recognition in noisy environments using a switching linear dynamic model for feature enhancement

Author keywords

ASR; Consonant challenge; Feature enhancement; SLDM

Indexed keywords

ASR; AUDITORY MODELING; AUTOMATIC SPEECH RECOGNITION SYSTEM; BACKGROUND NOISE; CONSONANT CHALLENGE; ENHANCEMENT TECHNIQUES; FEATURE ENHANCEMENT; LINEAR DYNAMIC MODEL; MODEL ARCHITECTURE; NOISE MODELING; NOISE ROBUSTNESS; NOISY ENVIRONMENT; SLDM; SPEECH MODELING; SPEECH SIGNALS; SWITCHING LINEAR DYNAMIC MODELS; TEST SETS; TRAINING STRATEGY;

EID: 84867210964     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (17)
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  • 5
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    • Viikki, O.1    Laurila, K.2
  • 7
    • 85009129589 scopus 로고    scopus 로고
    • Quantile based histogram equalization for noise robust speech recognition
    • Hilger, F. and Ney, H., "Quantile based histogram equalization for noise robust speech recognition", Eurospeech (2001) 1135-1138
    • (2001) Eurospeech , pp. 1135-1138
    • Hilger, F.1    Ney, H.2
  • 10
    • 77649263216 scopus 로고    scopus 로고
    • The Interspeech 2008 Consonant Challenge
    • Cooke, M. and Scharenborg, O., "The Interspeech 2008 Consonant Challenge", Interspeech (2008)
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  • 11
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    • Noisy speech feature estimation on the Aurora2 database using a switching linear dynamic model
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  • 13
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    • A comparison of three non-linear observation models for noisy speech features
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  • 15
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  • 17
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    • Perceptual linear predictive (PLP) analysis of speech
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.