메뉴 건너뛰기




Volumn , Issue , 2005, Pages 989-992

Maximum mutual information SPLICE transform for seen and unseen conditions

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC NOISE; ALGORITHMS; MATHEMATICAL TRANSFORMATIONS; NONLINEAR SYSTEMS;

EID: 33745216251     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (34)

References (11)
  • 1
    • 85009265626 scopus 로고    scopus 로고
    • Evaluation of SPLICE on the Aurora 2 and 3 tasks
    • Denver, USA, September
    • J. Droppo, L. Deng, and A. Acero, "Evaluation of SPLICE on the Aurora 2 and 3 tasks," in Proc. ICSLP 2002, Denver, USA, September 2002, pp. 29-32.
    • (2002) Proc. ICSLP 2002 , pp. 29-32
    • Droppo, J.1    Deng, L.2    Acero, A.3
  • 2
    • 85009206023 scopus 로고    scopus 로고
    • Maximum conditional mutual information projection for speech recognition
    • Geneva, Switzerland, September
    • M. Omar and M. Hasegawa-Johnson, "Maximum conditional mutual information projection for speech recognition," in Proc. Eurospeech 2003, Geneva, Switzerland, September 2003, pp. 505-509.
    • (2003) Proc. Eurospeech 2003 , pp. 505-509
    • Omar, M.1    Hasegawa-Johnson, M.2
  • 3
    • 0141591459 scopus 로고    scopus 로고
    • Minimum classification error linear regression for acoustic model adaptation of continuous density HMMs
    • Hong Kong, April
    • X. He and W. Chou, "Minimum classification error linear regression for acoustic model adaptation of continuous density HMMs," in Proc. 2003 ICASSP, vol. 1, Hong Kong, April 2003, pp. 556-561.
    • (2003) Proc. 2003 ICASSP , vol.1 , pp. 556-561
    • He, X.1    Chou, W.2
  • 4
    • 33646793688 scopus 로고    scopus 로고
    • Minimum phoneme error based heteroscedastic linear discriminant analysis for speech recognition
    • Philadelphia, USA, March
    • B. Zhang and S. Matsoukas, "Minimum phoneme error based heteroscedastic linear discriminant analysis for speech recognition," in Proc. 2005 ICASSP, vol. 1, Philadelphia, USA, March 2005, pp. 925-929.
    • (2005) Proc. 2005 ICASSP , vol.1 , pp. 925-929
    • Zhang, B.1    Matsoukas, S.2
  • 6
    • 85009257847 scopus 로고    scopus 로고
    • An evinronment compensated minimum classification error training approach and its evaluation on aurora2 database
    • Denver, USA, September
    • J. Wu and Q. Huo, "An evinronment compensated minimum classification error training approach and its evaluation on aurora2 database," in Proc. ICSLP 2002, Denver, USA, September 2002, pp. 453-457.
    • (2002) Proc. ICSLP 2002 , pp. 453-457
    • Wu, J.1    Huo, Q.2
  • 7
    • 33646788786 scopus 로고    scopus 로고
    • FMPE: Discriminatively trained features for speech recognition
    • Philadelphia, USA, March
    • D. Povey, B. Kingsbury, L. Mangu, G. Saon, H. Solatu, and G. Zweig, "FMPE: Discriminatively trained features for speech recognition," in Proc. 2005 ICASSP, vol. 1, Philadelphia, USA, March 2005, pp. 961-964.
    • (2005) Proc. 2005 ICASSP , vol.1 , pp. 961-964
    • Povey, D.1    Kingsbury, B.2    Mangu, L.3    Saon, G.4    Solatu, H.5    Zweig, G.6
  • 8
    • 20444414457 scopus 로고    scopus 로고
    • Analysis and comparison of two speech feature extraction/compensation algorithms
    • accepted for publication
    • L. Deng, J. Wu, J. Droppo, and A. Acero, "Analysis and comparison of two speech feature extraction/compensation algorithms," IEEE Signal Processing Letters, 2005, accepted for publication.
    • (2005) IEEE Signal Processing Letters
    • Deng, L.1    Wu, J.2    Droppo, J.3    Acero, A.4
  • 9
    • 0038669544 scopus 로고    scopus 로고
    • The AURORA experimental framework for the performance evaluations of speech recognition systems under noisy condidions
    • Paris, France, September
    • H. G. Hirsch and D. Pearce, "The AURORA experimental framework for the performance evaluations of speech recognition systems under noisy condidions," in ISCA ITRW ASR2000, Paris, France, September 2000.
    • (2000) ISCA ITRW ASR2000
    • Hirsch, H.G.1    Pearce, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.