Prosodic and segmental rubrics in emotion identification. Barra, R.; Montero, J. M.; Macías, J.; D'Haro, L. F.; San-Segundo, R.; and de Córdoba, R. In ICASSP 2006. Proceedings of the IEEE International Conference on Acoustics Speed and Signal Processing, pages 1085-1088. Toulouse, France, 14-19 May 2006.
Prosodic and segmental rubrics in emotion identification [pdf]Paper  abstract   bibtex   
It is known that the emotional state of a speaker usually alters the way she/he speaks. Although all the components of the voice can be affected by emotion in some statistically-significant way, not all these deviations from a neutral voice are identified by human listeners as conveying emotional information. In this paper we have carried out several perceptual and objective experiments that show the relevance of prosody and segmental spectrum in the characterization and identification of four emotions in Spanish. A Bayes classifier has been used in the objective emotion identification task. Emotion models were generated as the contribution of every emotion to the build- up of a Universal Background Emotion Codebook. According to our experiments, surprise is primarily identified by humans through its prosodic rubric (in spite of some automatically-identifiable segmental characteristics); while for anger the situation is just the opposite. Sadness and happiness need a combination of prosodic and segmental rubrics to be reliably identified.
@incollection{barra_prosodic_2006,
	Author = {Barra, Roberto and Montero, Juan Manuel and Macías, Javier and D'Haro, Luis Fernando and San-Segundo, Rubén and de Córdoba, Ricardo},
	Booktitle = {ICASSP 2006. Proceedings of the IEEE International Conference on Acoustics Speed and Signal Processing},
	Date = {2006},
	Date-Modified = {2016-09-24 18:55:58 +0000},
	File = {Attachment:files/868/Barra et al. - 2006 - Prosodic and segmental rubrics in emotion identification.pdf:application/pdf},
	Keywords = {emotions, phonetics, prosody, Spanish, speaking styles, speech technology},
	Pages = {1085-1088},
	Publisher = {Toulouse, France, 14-19 May 2006},
	Title = {Prosodic and segmental rubrics in emotion identification},
	Url = {http://ww.geintra-uah.org/en/system/files/emotionRubricsICASSP2006.pdf},
	Abstract = {It is known that the emotional state of a speaker usually alters the way she/he speaks. Although all the components of the voice can be affected by emotion in some statistically-significant way, not all these deviations from a neutral voice are identified by human listeners as conveying emotional information. In this paper we have carried out several perceptual and objective experiments that show the relevance of prosody and segmental spectrum in the characterization and identification of four emotions in Spanish. A Bayes classifier has been used in the objective emotion identification task. Emotion models were generated as the contribution of every emotion to the build- up of a Universal Background Emotion Codebook. According to our experiments, surprise is primarily identified by humans through its prosodic rubric (in spite of some automatically-identifiable segmental characteristics); while for anger the situation is just the opposite. Sadness and happiness need a combination of prosodic and segmental rubrics to be reliably identified.},
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