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Volumn 1, Issue , 2012, Pages 514-517

Multi-system fusion of extended context prosodic and cepstral features for paralinguistic speaker trait classification

Author keywords

Gaussian mixture modeling; MFCCs; Prosody; Speaker traits

Indexed keywords

AUTOMATIC SPEECH PROCESSING; CLASSIFICATION APPROACH; DISTANCE-BASED CLASSIFIERS; GAUSSIAN MIXTURE MODELING; MFCCS; MULTIPLE FEATURES; PROSODY; SPEAKER TRAITS;

EID: 84878417112     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (22)
  • 1
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    • C. Müller, Ed. in Lecture Notes on Artifical Intelligence. Springer
    • E. Shriberg, "Higher-Level Features in Speaker Recognition," in Speaker Classification I: Fundamentals, Features, and Methods, C. Müller, Ed., no. 4343 in Lecture Notes on Artifical Intelligence. Springer, 2007, pp. 241-259.
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    • Shriberg, E.1
  • 2
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    • September
    • G. Dobry, R. M. Hecht, M. Avigal, and Y. Zigel, "Supervector Dimension Reduction for Efficient Speaker Age Estimation Based on Acoustic Speech Signal," IEEE Transactions on Audio, Speech, and Language Processing, Vol. 19, no. 7, pp. 1975-1985, September 2011.
    • (2011) IEEE Transactions on Audio, Speech, and Language Processing , vol.19 , Issue.7 , pp. 1975-1985
    • Dobry, G.1    Hecht, R.M.2    Avigal, M.3    Zigel, Y.4
  • 4
    • 84865780238 scopus 로고    scopus 로고
    • Effective arabic dialect classification using diverse phonotactic models
    • Florence, Italy
    • M. Akbacak, D. Vergyri, A. Stolcke, N. Scheffer, and A. Mandal, "Effective Arabic Dialect Classification Using Diverse Phonotactic Models," in Interspeech, Florence, Italy, 2011.
    • (2011) Interspeech
    • Akbacak, M.1    Vergyri, D.2    Stolcke, A.3    Scheffer, N.4    Mandal, A.5
  • 5
    • 36248938764 scopus 로고    scopus 로고
    • Speaker characteristics
    • C. Müller, Ed. in Lecture Notes on Artificial Intelligence
    • T. Schultz, "Speaker Characteristics," in Speaker Classification I: Fundamentals, Features, and Methods, C. Müller, Ed., no. 4343 in Lecture Notes on Artificial Intelligence, 2007, pp. 47-74.
    • (2007) Speaker Classification I: Fundamentals, Features, and Methods , Issue.4343 , pp. 47-74
    • Schultz, T.1
  • 8
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    • Recognition of personality traits from human spoken conversations
    • Florence, Italy
    • A. V. Ivanov, G. Riccardi, A. J. Sporka, and J. Frank, "Recognition of Personality Traits from Human Spoken Conversations," in Interspeech, Florence, Italy, 2011.
    • (2011) Interspeech
    • Ivanov, A.V.1    Riccardi, G.2    Sporka, A.J.3    Frank, J.4
  • 11
    • 34547496515 scopus 로고    scopus 로고
    • The relevance of voice quality features in speaker independent emotion recognition
    • Honolulu, HI, USA
    • M. Lugger and B. Yang, "The Relevance of Voice Quality Features in Speaker Independent Emotion Recognition," in IEEE Conference on Acoustics, Speech, and Signal Processing, Honolulu, HI, USA, 2007.
    • (2007) IEEE Conference on Acoustics, Speech, and Signal Processing
    • Lugger, M.1    Yang, B.2
  • 21
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    • New MAP estimators for speaker recognition
    • Geneva, Switzerland
    • P. Kenny, M. Mihoubi, and P. Dumouchel, "New MAP Estimators for Speaker Recognition," in Eurospeech, Geneva, Switzerland, 2003.
    • (2003) Eurospeech
    • Kenny, P.1    Mihoubi, M.2    Dumouchel, P.3
  • 22
    • 0025448521 scopus 로고
    • The strength of weak learnability
    • R. Schapire, "The Strength of Weak Learnability," Machine Learning, Vol. 5, no. 2, pp. 197-227, 1990.
    • (1990) Machine Learning , vol.5 , Issue.2 , pp. 197-227
    • Schapire, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.