메뉴 건너뛰기




Volumn , Issue , 2005, Pages 565-568

On improvements to cI-based GMM selection

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN MIXTURE MODELS (GMM); GMM COMPUTATIONS; RECOGNITION ACCURACY; SPEECH DECODING;

EID: 33745211016     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (10)
  • 1
    • 33745199530 scopus 로고    scopus 로고
    • Four-layer categorization of fast GMM computation techniques in large vocabulary continuous speech recognition systems
    • Chan, A. et al, "Four-Layer Categorization of Fast GMM Computation Techniques in Large Vocabulary Continuous Speech Recognition Systems", ICSLP-2004.
    • ICSLP-2004
    • Chan, A.1
  • 4
    • 33745185675 scopus 로고    scopus 로고
    • Gaussian mixture selection using context independent HMM
    • Lee, A., "Gaussian Mixture Selection using Context independent HMM", IEEE ICASSP 2001.
    • IEEE ICASSP 2001
    • Lee, A.1
  • 5
    • 0035424821 scopus 로고    scopus 로고
    • Fast likelihood computation in nearest-neighbor based search for continuous speech recognition
    • August
    • Pellom, B. et al, "Fast Likelihood Computation in Nearest-Neighbor Based Search for Continuous Speech Recognition" IEEE Signal Processing Letters, vol. 8, no. 8, pp. 221-224, August, 2001
    • (2001) IEEE Signal Processing Letters , vol.8 , Issue.8 , pp. 221-224
    • Pellom, B.1
  • 6
    • 0030371769 scopus 로고    scopus 로고
    • Use of gaussian selection in large vocabulary speech recognition using HMMs
    • Gales, M. J. F. et al, "Use of Gaussian Selection in Large Vocabulary Speech Recognition Using HMMs" ICSLP 1996.
    • ICSLP 1996
    • Gales, M.J.F.1
  • 7
    • 85009253235 scopus 로고    scopus 로고
    • The carnegie mellon communicator corpus
    • Bennett, C. and Rudnicky, A., "The Carnegie Mellon Communicator Corpus", ICSLP 2002.
    • ICSLP 2002
    • Bennett, C.1    Rudnicky, A.2
  • 10
    • 67649122716 scopus 로고    scopus 로고
    • Sub-vector clustering to improve memory and speed performance of acoustic likelihood computation
    • Mosur, R. et al, "Sub-Vector Clustering to Improve Memory and Speed Performance of Acoustic Likelihood Computation.", Eurospeech 1997.
    • Eurospeech 1997
    • Mosur, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.