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Volumn , Issue , 2009, Pages 183-186

Variational gaussian mixture models for speech emotion recognition

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; BLIND SOURCE SEPARATION; COMMUNICATION CHANNELS (INFORMATION THEORY); FACE RECOGNITION; MAXIMUM LIKELIHOOD ESTIMATION; OBJECT RECOGNITION; PARAMETER ESTIMATION; TRELLIS CODES;

EID: 63649163674     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICAPR.2009.89     Document Type: Conference Paper
Times cited : (24)

References (12)
  • 1
    • 33750552511 scopus 로고    scopus 로고
    • Emotional speech classification using Gaussian mixture models and the sequential floating forward selection algorithm
    • July
    • D. Ververidis and C. Kotropoulos, "Emotional speech classification using Gaussian mixture models and the sequential floating forward selection algorithm," IEEE Int. Conf. on Multimedia and Expo, pp. 1500-1503, July 2005.
    • (2005) IEEE Int. Conf. on Multimedia and Expo , pp. 1500-1503
    • Ververidis, D.1    Kotropoulos, C.2
  • 4
    • 4043061882 scopus 로고    scopus 로고
    • Variational Bayesian model selection for mixture distributions
    • January
    • A. Corduneanu and C. M. Bishop, "Variational Bayesian model selection for mixture distributions," Artificial Intelligence and Statistics, vol. 99, no. 7, pp. 1-100, January 1999.
    • (1999) Artificial Intelligence and Statistics , vol.99 , Issue.7 , pp. 1-100
    • Corduneanu, A.1    Bishop, C.M.2
  • 5
    • 33746813525 scopus 로고    scopus 로고
    • Variational learning for Gaussian mixture models
    • Aug
    • N. Nasios and A. Bors, "Variational learning for Gaussian mixture models," IEEE Trans. Systems, Man, and Cybernetics, Part B, vol. 36, no. 4, pp. 849-862, Aug. 2006.
    • (2006) IEEE Trans. Systems, Man, and Cybernetics, Part B , vol.36 , Issue.4 , pp. 849-862
    • Nasios, N.1    Bors, A.2
  • 6
    • 33947164164 scopus 로고    scopus 로고
    • An evaluation of the robustness of existing supervised machine learning approaches to the classification of emotions in speech
    • M. Shami and W. Verhelst, "An evaluation of the robustness of existing supervised machine learning approaches to the classification of emotions in speech," Speech Commn., vol. 49, no. 3, pp. 201-212, 2007.
    • (2007) Speech Commn , vol.49 , Issue.3 , pp. 201-212
    • Shami, M.1    Verhelst, W.2
  • 7
    • 33746410556 scopus 로고    scopus 로고
    • Emotional speech recognition: Resources, features, and methods
    • D. Ververidis and C. Kotropoulos, "Emotional speech recognition: Resources, features, and methods," Speech Commn., vol. 48, no. 9, pp. 1162-1181, 2006.
    • (2006) Speech Commn , vol.48 , Issue.9 , pp. 1162-1181
    • Ververidis, D.1    Kotropoulos, C.2
  • 8
    • 38749103707 scopus 로고    scopus 로고
    • Emotion recognition in spontaneous speech using GMMs
    • Pittsburgh, Pennysylvania, September
    • D. Neiberg, K. Elenius, and K. Laskowski, "Emotion recognition in spontaneous speech using GMMs," in Interspeech, Pittsburgh, Pennysylvania, September, 2006.
    • (2006) Interspeech
    • Neiberg, D.1    Elenius, K.2    Laskowski, K.3
  • 9
    • 84867218213 scopus 로고    scopus 로고
    • Automatic recognition of anger in spontaneous speech
    • Brisbane, Australia, October
    • D. Neiberg and K. Elenius, "Automatic recognition of anger in spontaneous speech," in To appear Interspeech, Brisbane, Australia, October, 2008.
    • (2008) To appear Interspeech
    • Neiberg, D.1    Elenius, K.2
  • 10
    • 63649147868 scopus 로고    scopus 로고
    • Emotion recognition using melfrequency cepstral coefficients
    • N. Sato and Y. Obuchi, "Emotion recognition using melfrequency cepstral coefficients," Journal of Natural Language Processing, vol. 14, no. 4, pp. 83-96, 2007.
    • (2007) Journal of Natural Language Processing , vol.14 , Issue.4 , pp. 83-96
    • Sato, N.1    Obuchi, Y.2
  • 11
  • 12
    • 34547535917 scopus 로고    scopus 로고
    • Speech emotion recognition using Gaussian mixture vector autoregressive models
    • Honolulu, Hawai
    • M. H. E. Ayadi, M. S. Kamel, and F. Karray, "Speech emotion recognition using Gaussian mixture vector autoregressive models," in ICASSP, vol. 4, Honolulu, Hawai, 2007, pp. 957-960.
    • (2007) ICASSP , vol.4 , pp. 957-960
    • Ayadi, M.H.E.1    Kamel, M.S.2    Karray, F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.