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Volumn 1, Issue , 2012, Pages 282-285

A comparison of classification paradigms for speaker likeability determination

Author keywords

Likeability; Single and multi dimensional feature selection; Sparse representation classifier; UBM data selection

Indexed keywords

ACOUSTIC FEATURES; CLASSIFICATION TASKS; DATA SELECTION; LIKEABILITY; PARALINGUISTIC; SPARSE REPRESENTATION; TRAINING DATA;

EID: 84878417650     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (13)
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  • 2
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  • 4
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  • 5
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    • Voice attributes affecting likability perception
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  • 6
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  • 7
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  • 8
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    • An investigation of depressed speech detection: Features and Normalization
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  • 9
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    • Speaker verification using sparse representation classification
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    • Kua, J.M.K., et al. "Speaker verification using sparse representation classification", in Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on. 2011: p. not available.
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  • 10
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    • Robust face recognition via sparse representation
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    • Wright, J., et al., "Robust Face Recognition via Sparse Representation", Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2009. 31(2): p. 210-227.
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  • 12
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    • Kua, J.M.K., et al. "Using clustering comparison measures for speaker recognition", in Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on. 2011: p. not available.
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  • 13
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    • Speaker verification using adapted Gaussian mixture models
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.