메뉴 건너뛰기




Volumn , Issue , 2009, Pages 95-117

Classifier fusion for emotion recognition from speech

Author keywords

Modulation spectrum features; RASTA PLP; Zwicker loudness

Indexed keywords


EID: 80054838542     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-0-387-76485-6_5     Document Type: Chapter
Times cited : (21)

References (24)
  • 4
    • 21544459345 scopus 로고    scopus 로고
    • Challenges in real-life emotion annotation and machine learning based detection
    • DOI 10.1016/j.neunet.2005.03.007, PII S0893608005000407, Emotion and Brain
    • Devillers, L., Vidrascu, L., and Lamel, L. (2005). Challenges in Real-Life Emotion Annotation and Machine Learning based Detection. Neural Networks, 18:407-422. (Pubitemid 40922648)
    • (2005) Neural Networks , vol.18 , Issue.4 , pp. 407-422
    • Devillers, L.1    Vidrascu, L.2    Lamel, L.3
  • 5
    • 21544458365 scopus 로고    scopus 로고
    • Emotion recognition in HumanComputer interaction
    • Fragopanagos, N. and Taylor, J. (2005). Emotion Recognition in HumanComputer Interaction. Neural Networks, 18:389-405.
    • (2005) Neural Networks , vol.18 , pp. 389-405
    • Fragopanagos, N.1    Taylor, J.2
  • 6
    • 33745475839 scopus 로고    scopus 로고
    • Auditory modeling in automatic recognition of speech
    • Hermansky, H. (1996). Auditory Modeling in Automatic Recognition of Speech. In Proceedings of Keele Workshop.
    • (1996) Proceedings of Keele Workshop
    • Hermansky, H.1
  • 10
    • 0032676337 scopus 로고    scopus 로고
    • On the relative importance of various components of the modulation spectrum for automatic speech recognition
    • Kanederaa, N., Araib, T., Hermansky, H., and Pavele, M. (1999). On the Relative Importance of Various Components of the Modulation Spectrum for Automatic Speech Recognition. Speech Communications, 28:43-55.
    • (1999) Speech Communications , vol.28 , pp. 43-55
    • Kanederaa, N.1    Araib, T.2    Hermansky, H.3    Pavele, M.4
  • 15
    • 0027447292 scopus 로고
    • Toward the simulation of emotion in synthetic speech: A review of the literature on human vocal emotion
    • DOI 10.1121/1.405558
    • Murray, I. R. and Arnott, J. L. (1993). Toward the Simulation of Emotion in Synthetic Speech: A Review of the Literature on Human Vocal Emotion. Journal of the Acoustical Society of America, 93(2):1097-1108. (Pubitemid 23059837)
    • (1993) Journal of the Acoustical Society of America , vol.93 , Issue.2 , pp. 1097-1108
    • Murray, I.R.1    Arnott, J.L.2
  • 16
    • 0034346176 scopus 로고    scopus 로고
    • Emotion recognition in speech using neural networks
    • DOI 10.1007/s005210070006
    • Nicholson, J., Takahashi, K., and Nakatsu, R. (2000). Emotion Recognition in Speech Using Neural Networks. Neural Computing and Applications, 9(4): 290-296. (Pubitemid 33216586)
    • (2000) Neural Computing and Applications , vol.9 , Issue.4 , pp. 290-296
    • Nicholson, J.1    Takahashi, K.2    Nakatsu, R.3
  • 17
    • 0038548330 scopus 로고    scopus 로고
    • The production and recognition of emotions in speech: Features and algorithms
    • Oudeyer, P.-Y. (2003). The Production and Recognition of Emotions in Speech: Features and Algorithms. International Journal of Human Computer Interaction, 59(1-2):157-183.
    • (2003) International Journal of Human Computer Interaction , vol.59 , Issue.1-2 , pp. 157-183
    • Oudeyer, P.-Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.