메뉴 건너뛰기




Volumn 54, Issue 9, 2012, Pages 1049-1063

Speech-based recognition of self-reported and observed emotion in a dimensional space

Author keywords

Affective computing; Audiovisual database; Automatic emotion recognition; Emotion annotation; Emotion database; Emotion elicitation; Emotion perception; Emotional speech; Support Vector Regression; Videogames

Indexed keywords

AFFECTIVE COMPUTING; AUDIO-VISUAL DATABASE; EMOTION ANNOTATION; EMOTION ELICITATION; EMOTION RECOGNITION; EMOTIONAL SPEECH; SUPPORT VECTOR REGRESSION (SVR); VIDEO GAME;

EID: 84862851965     PISSN: 01676393     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.specom.2012.04.006     Document Type: Article
Times cited : (45)

References (61)
  • 3
    • 0030093965 scopus 로고    scopus 로고
    • Acoustic profiles in vocal emotion expression
    • R. Banse, and K.R. Scherer Acoustic profiles in vocal emotion expression J. Pers. Soc. Psychol. 70 1996 614 636
    • (1996) J. Pers. Soc. Psychol. , vol.70 , pp. 614-636
    • Banse, R.1    Scherer, K.R.2
  • 6
    • 70450205492 scopus 로고    scopus 로고
    • Tracing vocal expression of emotion along the speech chain: Do listeners perceive what speakers feel?
    • Biersack, S.; Kempe, V.; 2005. Tracing vocal expression of emotion along the speech chain: do listeners perceive what speakers feel? In: Proc. ISCA Workshop on Plasticity in Speech Perception (PSP2005), pp. 211-214.
    • (2005) Proc. ISCA Workshop on Plasticity in Speech Perception (PSP2005) , pp. 211-214
    • Biersack, S.1    Kempe, V.2
  • 8
    • 84867198657 scopus 로고    scopus 로고
    • The expression and perception of emotions: Comparing assessments of self versus others
    • Busso, C.; Narayanan, S.S.; 2008. The expression and perception of emotions: comparing assessments of self versus others. In: Proc. Interspeech 2008, pp. 257-260.
    • (2008) Proc. Interspeech 2008 , pp. 257-260
    • Busso, C.1    Narayanan, S.S.2
  • 10
    • 0037382510 scopus 로고    scopus 로고
    • Describing the emotional states that are expressed in speech
    • R. Cowie, and R.R. Cornelius Describing the emotional states that are expressed in speech Speech Commun. 40 2003 5 32
    • (2003) Speech Commun. , vol.40 , pp. 5-32
    • Cowie, R.1    Cornelius, R.R.2
  • 14
    • 34547152189 scopus 로고    scopus 로고
    • The facereader: Online facial expression recognition
    • Den Uyl, M.J.; Van Kuilenburg, H.; 2005. The facereader: online facial expression recognition. In: Proc. Measuring Behavior, pp. 589-590.
    • (2005) Proc. Measuring Behavior , pp. 589-590
    • Den Uyl, M.J.1    Van Kuilenburg, H.2
  • 16
    • 21544459345 scopus 로고    scopus 로고
    • Challenges in real-life emotion annotation and machine learning based detection
    • L. Devillers, L. Vidrascu, and L. Lamel Challenges in real-life emotion annotation and machine learning based detection Neural Networks 18 2005 407 422
    • (2005) Neural Networks , vol.18 , pp. 407-422
    • Devillers, L.1    Vidrascu, L.2    Lamel, L.3
  • 18
    • 0001053757 scopus 로고
    • Universals and cultural differences in facial expressions of emotion
    • Cole, J. (Ed.)
    • Ekman, P.; 1972. Universals and cultural differences in facial expressions of emotion. In: Cole, J. (Ed.), Nebraska Symposium on Motivation, pp. 207-283.
    • (1972) Nebraska Symposium on Motivation , pp. 207-283
    • Ekman, P.1
  • 22
    • 34547940048 scopus 로고    scopus 로고
    • Primitives-based evaluation and estimation of emotions in speech
    • M. Grimm, K. Kroschel, E. Mower, and S. Narayanan Primitives-based evaluation and estimation of emotions in speech Speech Commun. 49 2007 787 800
    • (2007) Speech Commun. , vol.49 , pp. 787-800
    • Grimm, M.1    Kroschel, K.2    Mower, E.3    Narayanan, S.4
  • 25
    • 13144279345 scopus 로고    scopus 로고
    • Affective video content representation and modeling
    • A. Hanjalic, and L.-Q. Xu Affective video content representation and modeling IEEE Trans. Multimedia 7 2005 143 154
    • (2005) IEEE Trans. Multimedia , vol.7 , pp. 143-154
    • Hanjalic, A.1    Xu, L.-Q.2
  • 26
    • 84957069814 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • Joachims, T.; 1998. Text categorization with support vector machines: learning with many relevant features. In: Proc. 10th European Conf. on Machine Learning (ECML-98), pp. 137-142.
    • (1998) Proc. 10th European Conf. on Machine Learning (ECML-98) , pp. 137-142
    • Joachims, T.1
  • 28
    • 33745184901 scopus 로고    scopus 로고
    • Integrating information from speech and physiological signals to achieve emotional sensitivity
    • Kim, J.; André, E.; Rehm, M.; Vogt, T.; Wagner, J.; 2005. Integrating information from speech and physiological signals to achieve emotional sensitivity. In: Proc. Interspeech, pp. 809-812.
    • (2005) Proc. Interspeech , pp. 809-812
    • Kim, J.1    André, E.2    Rehm, M.3    Vogt, T.4    Wagner, J.5
  • 30
    • 70349097528 scopus 로고
    • The emotion probe
    • P. Lang The emotion probe Amer. Psychol. 50 1995 371 385
    • (1995) Amer. Psychol. , vol.50 , pp. 371-385
    • Lang, P.1
  • 33
    • 84976216481 scopus 로고    scopus 로고
    • Classifying subject ratings of emotional speech using acoustic features
    • Liscombe, J.; Venditti, J.; Hirschberg, J.; 2003. Classifying subject ratings of emotional speech using acoustic features. In: Proc. Eurospeech, pp. 725-728.
    • (2003) Proc. Eurospeech , pp. 725-728
    • Liscombe, J.1    Venditti, J.2    Hirschberg, J.3
  • 34
    • 70450172154 scopus 로고    scopus 로고
    • Evaluating evaluators: A case study in understanding the benefits and pitfalls of multi-evaluator modeling
    • Mower, E.; Mataric, M.J.; Narayanan, S.S.; 2009. Evaluating evaluators: a case study in understanding the benefits and pitfalls of multi-evaluator modeling. In: Proc. Interspeech 2009, pp. 1583-1586.
    • (2009) Proc. Interspeech 2009 , pp. 1583-1586
    • Mower, E.1    Mataric, M.J.2    Narayanan, S.S.3
  • 36
    • 80054842318 scopus 로고    scopus 로고
    • Continuous prediction of spontaneous affect from multiple cues and modalities in valence-arousal space
    • M.A. Nicolaou, H. Gunes, and M. Pantic Continuous prediction of spontaneous affect from multiple cues and modalities in valence-arousal space IEEE Trans. Affect. Comput. 2 2011 92 105
    • (2011) IEEE Trans. Affect. Comput. , vol.2 , pp. 92-105
    • Nicolaou, M.A.1    Gunes, H.2    Pantic, M.3
  • 41
    • 4644280844 scopus 로고
    • A circumplex model of affect
    • J.A. Russell A circumplex model of affect J. Pers. Soc. Psychol. 39 1980 1161 1178
    • (1980) J. Pers. Soc. Psychol. , vol.39 , pp. 1161-1178
    • Russell, J.A.1
  • 42
    • 45549117987 scopus 로고
    • Term-weighting approaches in automatic text retrieval
    • G. Salton, and C. Buckley Term-weighting approaches in automatic text retrieval Inform. Process. Manage. 24 5 1988 513 523
    • (1988) Inform. Process. Manage. , vol.24 , Issue.5 , pp. 513-523
    • Salton, G.1    Buckley, C.2
  • 43
    • 84855454800 scopus 로고    scopus 로고
    • The component process model: Architecture for a comprehensive computational model of emergent emotion
    • Scherer, K.R.; Bänziger, T.; Roesch, E. (Eds.)
    • Scherer, K.R.; 2010. The component process model: architecture for a comprehensive computational model of emergent emotion. In: Scherer, K.R.; Bänziger, T.; Roesch, E. (Eds.), Blueprint for Affective Computing: A Sourcebook, pp. 47-70.
    • (2010) Blueprint for Affective Computing: A Sourcebook , pp. 47-70
    • Scherer, K.R.1
  • 46
    • 4043137356 scopus 로고    scopus 로고
    • A tutorial on support vector regression
    • A.J. Smola, and B. Scholkopf A tutorial on support vector regression Stat. Comput. 14 3 2004 199 222
    • (2004) Stat. Comput. , vol.14 , Issue.3 , pp. 199-222
    • Smola, A.J.1    Scholkopf, B.2
  • 48
    • 84867207974 scopus 로고    scopus 로고
    • Assessing agreement of observer- and self-annotations in spontaneous multimodal emotion data
    • Truong, K.P.; Neerincx, M.A.; Van Leeuwen, D.A.; 2008. Assessing agreement of observer- and self-annotations in spontaneous multimodal emotion data. In: Proc. Interspeech 2008, pp. 381-321.
    • (2008) Proc. Interspeech 2008 , pp. 381-321
    • Truong, K.P.1    Neerincx, M.A.2    Van Leeuwen, D.A.3
  • 50
    • 70450204414 scopus 로고    scopus 로고
    • Arousal and valence prediction in spontaneous emotional speech: Felt versus perceived emotion
    • Truong, K.P.; Van Leeuwen, D.A.; Neerincx, M.A.; De Jong, F.M.G.; 2009. Arousal and valence prediction in spontaneous emotional speech: felt versus perceived emotion. In: Proc. Interspeech, pp. 2027-2030.
    • (2009) Proc. Interspeech , pp. 2027-2030
    • Truong, K.P.1    Van Leeuwen, D.A.2    Neerincx, M.A.3    De Jong, F.M.G.4
  • 52
    • 33750552511 scopus 로고    scopus 로고
    • Emotional speech classification using gaussian mixture models and the sequential floating forward selection algorithm
    • Ververidis, D.; Kotropoulos, C.; 2005. Emotional speech classification using gaussian mixture models and the sequential floating forward selection algorithm. In: Proc. IEEE Internat. Conf. on Multimedia and Expo (ICME 2005), pp. 1500 -1503.
    • (2005) Proc. IEEE Internat. Conf. on Multimedia and Expo (ICME 2005) , pp. 1500-1503
    • Ververidis, D.1    Kotropoulos, C.2
  • 53
    • 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 Commun. 48 9 2006 1162 1181
    • (2006) Speech Commun. , vol.48 , Issue.9 , pp. 1162-1181
    • Ververidis, D.1    Kotropoulos, C.2
  • 55
    • 0015409613 scopus 로고
    • Emotions and speech: Some acoustical correlates
    • C.E. Williams, and K.N. Stevens Emotions and speech: some acoustical correlates J. Acoust. Soc. Amer. 52 4B 1972 1238 1250
    • (1972) J. Acoust. Soc. Amer. , vol.52 , Issue.4 B , pp. 1238-1250
    • Williams, C.E.1    Stevens, K.N.2
  • 56
    • 84862156369 scopus 로고    scopus 로고
    • Abandoning emotion classes - Towards continuous emotion recognition with modeling of long-range dependencies
    • Wöllmer, M.; Eyben, F.; Reiter, S.; Schuller, B.; Cox, C.; Douglas-Cowie, E.; Cowie, R.; 2008. Abandoning emotion classes - towards continuous emotion recognition with modeling of long-range dependencies. In: Proc. Interspeech, pp. 597-600.
    • (2008) Proc. Interspeech , pp. 597-600
    • Wöllmer, M.1    Eyben, F.2    Reiter, S.3    Schuller, B.4    Cox, C.5    Douglas-Cowie, E.6    Cowie, R.7
  • 57
    • 70450186589 scopus 로고    scopus 로고
    • Data-driven clustering in emotional space for affect recognition using discriminatively trained lstm networks
    • Wöllmer, M.; Eyben, F.; Schuller, B.; Douglas-Cowie, E.; Cowie, R.; 2009. Data-driven clustering in emotional space for affect recognition using discriminatively trained lstm networks. In: Proc. Interspeech, pp. 1595-1598.
    • (2009) Proc. Interspeech , pp. 1595-1598
    • Wöllmer, M.1    Eyben, F.2    Schuller, B.3    Douglas-Cowie, E.4    Cowie, R.5
  • 59
    • 33745210985 scopus 로고    scopus 로고
    • Detecting politeness and frustration state of a child in a conversational computer game
    • Yildirim, S.; Lee, C.M.; Lee, S.; Potamianos, A.; Narayanan, S.S.; 2005. Detecting politeness and frustration state of a child in a conversational computer game. In: Proc. Interspeech 2005, pp. 2209-2212.
    • (2005) Proc. Interspeech 2005 , pp. 2209-2212
    • Yildirim, S.1    Lee, C.M.2    Lee, S.3    Potamianos, A.4    Narayanan, S.S.5
  • 60
    • 84961322808 scopus 로고    scopus 로고
    • Detecting user engagement in everyday conversations
    • Yu, C.; Aoki, P.; Woodruff, A.; 2004. Detecting user engagement in everyday conversations. In: Proc. Interspeech, pp. 1329-1332.
    • (2004) Proc. Interspeech , pp. 1329-1332
    • Yu, C.1    Aoki, P.2    Woodruff, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.