Unveiling the acoustic properties that describe the valence dimension

13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012

Volumn 2, Issue , 2012, Pages 1178-1181

  Busso, Carlos ^a   Rahman, Tauhidur ^a  

^a The University of Texas at Dallas   (United States)

Author keywords

Emotion recognition; Emotion representation; Speech analysis; Valence

Indexed keywords

CONTROLLED EXPERIMENT; EMOTION RECOGNITION; EMOTION RECOGNITION FROM SPEECH; EMOTION REPRESENTATION; LOGISTIC REGRESSION ANALYSIS; POSITIVE AND NEGATIVE EMOTIONS; SUPPORT VECTOR REGRESSION (SVR); VALENCE;

REGRESSION ANALYSIS; SPEECH ANALYSIS;

ACOUSTIC PROPERTIES;

EID: 84878390853     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. C. Busso, M. Bulut, S. Lee, and S. Narayanan, "Fundamental frequency analysis for speech emotion processing, " in The Role of Prosody in Affective Speech, S. Hancil, Ed. Berlin, Germany: Peter Lang Publishing Group, 2009, pp. 309-337.
2. S. Yildirim, M. Bulut, C. Lee, A. Kazemzadeh, C. Busso, Z. Deng, S. Lee, and S. Narayanan, "An acoustic study of emotions expressed in speech, " in 8th International Conference on Spoken Language Processing (ICSLP 04), Jeju Island, Korea, October 2004, pp. 2193-2196.
3. M. Grimm, K. Kroschel, E. Mower, and S. Narayanan, "Primitives-based evaluation and estimation of emotions in speech, " Speech Communication, vol. 49, no. 10-11, pp. 787-800, October-November 2007.
4. M. Grimm, K. Kroschel, and S. Narayanan, "Support vector regression for automatic recognition of spontaneous emotions in speech, " in International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2007), vol. 4, Honolulu, HI, USA, April 2007, pp. 1085-1088.
5. M.Wollmer, F. Eyben, S. Reiter, B. Schuller, C. Cox, E. Douglas-Cowie, and R. Cowie, "Abandoning emotion classes-towards continuous emotion recognition with modelling of long-range dependencies, " in Interspeech 2008-Eurospeech, Brisbane, Australia, September 2008, pp. 597-600.
6. N. Fragopanagos and J. Taylor, "Emotion recognition in humancomputer interaction, " Neural Network, vol. 18, pp. 389-405, May 2005.
7. J. Liscombe, J. Venditti, and J. Hirschberg, "Classifying subject ratings of emotional speech using acoustic features, " in 8th European Conference on Speech Communication and Technology (EUROSPEECH 2003), Geneva, Switzerland, September 2003, pp. 725-728.
8. H. Perez-Espinosa, C. Reyes-Garc?a, and L. Villasenor-Pine, "Acoustic feature selection and classification of emotions in speech using a 3d continuous emotion model, " Biomedical Signal Processing and Control, vol. 7, no. 1, pp. 79-87, January 2012.
9. M. Goudbeek, J. Goldman, and K. R. Scherer, "Emotion dimensions and formant position, " in Interspeech 2009, Brighton, UK, September 2009, pp. 1575-1578.
10. M. Grimm, K. Kroschel, and S. Narayanan, "The Vera am Mittag German audio-visual emotional speech database, " in IEEE International Conference on Multimedia and Expo (ICME 2008), Hannover, Germany, June 2008, pp. 865-868.
11. B. Schuller, S. Steidl, A. Batliner, F. Schiel, and J. Krajewski, "The INTERSPEECH 2011 speaker state challenge, " in 12th Annual Conference of the International Speech Communication Association (Interspeech'2011), Florence, Italy, August 2011.
12. C. Busso, S. Lee, and S. Narayanan, "Analysis of emotionally salient aspects of fundamental frequency for emotion detection, " IEEE Transactions on Audio, Speech and Language Processing, vol. 17, no. 4, pp. 582-596, May 2009.
13. D. Ladd, K. Silverman, F. Tolkmitt, G. Bergmann, and K. Scherer, "Evidence for the independent function of intonation contour type, voice quality, and F0 range in signaling speaker affect, " Journal of the Acoustical Society of America, vol. 78, no. 2, pp. 435-444, August 1985.
14. A. Batliner, S. Steidl, B. Schuller, D. Seppi, T. Vogt, J. Wagner, L. Devillers, L. Vidrascu, V. Aharonson, L. Kessous, and N. Amir, "Whodunnit searching for the most important feature types signalling emotion-related user states in speech, " Computer Speech, Language, vol. 25, no. 1, pp. 4-28, January 2011.