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Volumn , Issue , 2009, Pages 199-204

Noise robust model adaptation using linear spline interpolation

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC MODEL; ACOUSTIC MODEL ADAPTATION; ADAPTATION ALGORITHMS; CURRENT NOISE; DATA-DRIVEN; MODEL ADAPTATION; NOISY ENVIRONMENT; NOISY SPEECH; NON-LINEAR RELATIONSHIPS; NON-LINEARITY; PAPER MODELS; ROBUST MODELS; RUNTIMES; SPLINE INTERPOLATION; TRAINING DATA; WORD ACCURACIES;

EID: 77949402892     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASRU.2009.5373430     Document Type: Conference Paper
Times cited : (6)

References (12)
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    • Du, J.1    Huo, Q.2
  • 5
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    • Some algorithms for linear spline and piecewise multiple linear regression
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    • Deng, L.1    Droppo, J.2    Acero, A.3
  • 8
    • 0032048385 scopus 로고    scopus 로고
    • Speech recognition in noisy environments using first-order vector taylor series
    • D. Y. Kim, C. K. Un, and N. S. Kim, "Speech recognition in noisy environments using first-order vector taylor series," Speech Commun., vol. 24, no. 1, pp. 39-49, 1998.
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  • 9
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    • L. Deng, A. Acero, M. Plumpe, and H. Xuedong, "Large-vocabulary speech recognition under adverse acoustic environments," ICSLP 2000, vol. 3, pp. 806-809, October 2000.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.