Paper Info
Title
Prosodic And Segmental Rubrics In Emotion Identification
Abstract
It is well 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 buildup 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.
Year
DOI
Venue
2006
10.1109/ICASSP.2006.1660213
2006 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-13
Keywords
DocType
ISSN
speech coding,speaker recognition,feature extraction,speech recognition,statistical significance,bayes classifier,speech synthesis,telecommunications,prototypes,appraisal,natural languages,spanish,spectrum
Conference
1520-6149
Citations 
PageRank 
References 
14
0.85
6
Authors
6
Name
Order
Citations
PageRank
Roberto Barra-Chicote112917.35
Juan Manuel Montero221831.51
Javier Macías Guarasa313825.19
Luis Fernando D'Haro418125.97
Rubén San-Segundo-Hernández517329.60
Ricardo De Córdoba614225.58