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Volumn 3, Issue , 2012, Pages 1802-1805

Continuous digit recognition in noise: Reservoirs can do an excellent job!

Author keywords

Acoustic modeling; Model adaptation; Noise robustness; Reservoir computing

Indexed keywords

ACOUSTIC MODELING; DIGIT RECOGNITION; HMM-BASED SYSTEMS; MODEL ADAPTATION; NOISE ROBUSTNESS; NOISY CONDITIONS; NON-PARAMETRIC; RESERVOIR COMPUTING;

EID: 84878591993     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (8)
  • 3
    • 34548012893 scopus 로고    scopus 로고
    • Linear hidden transformation for adaptation of hybrid ANN/HMM models
    • R. Gemello, F. Mana, S. Scanzio, P. Laface, and R. De Mori, "Linear hidden transformation for adaptation of hybrid ann/hmm models," Speech Communication, vol. 49, pp. 827-835, 2007.
    • (2007) Speech Communication , vol.49 , pp. 827-835
    • Gemello, R.1    Mana, F.2    Scanzio, S.3    Laface, P.4    De Mori, R.5
  • 7
  • 8
    • 0038669544 scopus 로고    scopus 로고
    • The aurora experimental framework for the performance evaluation of speech recognition systems under noisy conditions
    • H. Hirsh and D. Pearce, "The aurora experimental framework for the performance evaluation of speech recognition systems under noisy conditions," in Proc. ISCA ASR, 2000.
    • (2000) Proc. ISCA ASR
    • Hirsh, H.1    Pearce, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.