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Volumn 3972 LNCS, Issue , 2006, Pages 712-718

Higher-order feature extraction of non-Gaussian acoustic signals using GGM-Based ICA

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; FREQUENCY DOMAIN ANALYSIS; INDEPENDENT COMPONENT ANALYSIS; MATHEMATICAL MODELS; OPTIMIZATION; STATISTICAL METHODS;

EID: 33745888687     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11760023_105     Document Type: Conference Paper
Times cited : (1)

References (6)
  • 2
    • 0036947697 scopus 로고    scopus 로고
    • Learning statistically efficient features for speaker recognition
    • Jang, G.-J., Lee, T.-W.: Learning Statistically Efficient Features for Speaker Recognition. Neurocomputing 49 (2002) 329-348
    • (2002) Neurocomputing , vol.49 , pp. 329-348
    • Jang, G.-J.1    Lee, T.-W.2
  • 4
    • 0033692615 scopus 로고    scopus 로고
    • Speech feature extraction using independent component analysis
    • Istanbul, Turkey
    • Lee, J.-H., Jung, H.-Y.: Speech Feature Extraction Using Independent Component Analysis. In: Proc. ICASP. Vol. 3 (6). Istanbul, Turkey (2000) 1631-1634
    • (2000) Proc. ICASP. , vol.3 , Issue.6 , pp. 1631-1634
    • Lee, J.-H.1    Jung, H.-Y.2
  • 5
    • 0029411030 scopus 로고
    • An information maximization approach to blind separation and blind deconvolution
    • Bell, A. J., Sejnowski, T. J.: An Information Maximization Approach to Blind Separation and Blind Deconvolution. Neural Computation 7(6) (1995) 1129-1159
    • (1995) Neural Computation , vol.7 , Issue.6 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.