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Volumn 15, Issue 4, 2012, Pages 455-462

Tree distributions approximation model for robust discrete speech recognition

Author keywords

Arabic digits; Dependence trees distributions; Graphical models; Japanese vowels; Speech recognition; Structure learning

Indexed keywords

ARABIC DIGITS; DEPENDENCE TREES DISTRIBUTIONS; GRAPHICAL MODEL; JAPANESE VOWELS; STRUCTURE-LEARNING;

EID: 84869504850     PISSN: 13812416     EISSN: 15728110     Source Type: Journal    
DOI: 10.1007/s10772-012-9141-9     Document Type: Article
Times cited : (4)

References (18)
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  • 2
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  • 3
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    • (2008) Image and Vision Computing , vol.26 , pp. 1574-1590
    • El Fkihi, S.1    Daoudi, M.2    Aboutajdine, D.3
  • 12
    • 0024610919 scopus 로고    scopus 로고
    • A tutorial on hidden Markov models and selected applications in speech recognition
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  • 14
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    • Learning Gaussian tree models: Analysis of error exponents and extremal structures
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    • A large-deviation analysis of the maximum-likelihood learning of Markov tree structures
    • Tan, V. Y. F., Anandkumar, A., Lang, T., & Willsky, A. S. (2011). A large-deviation analysis of the maximum-likelihood learning of Markov tree structures. IEEE Transactions on Information Theory, 57, 1714-1735.
    • (2011) IEEE Transactions on Information Theory , vol.57 , pp. 1714-1735
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  • 17
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    • U. o. B.-M. (). Spoken Arabic digits. UCI machine learning repository
    • U. o. B.-M. Laboratory of Automatic and Signals (2008). Spoken Arabic digits. UCI machine learning repository. http://archive.ics.uci.edu/ml/datasets/ Spoken+Arabic+Digit.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.