DocumentCode :
260153
Title :
Speech parameter selection for emotional stress characterization in women
Author :
Rodellar-Biarge, V. ; Palacios-Alonso, D. ; Nieto-Lluis, V. ; Gomez-Vilda, P.
Author_Institution :
Centro de Tecnol. Biomed. & Escuela Tec. Super. de Ing. Informaticos, Univ. Politec. de Madrid, Pozuelo de Alarcon, Spain
fYear :
2014
fDate :
16-18 July 2014
Firstpage :
21
Lastpage :
24
Abstract :
A total of 68 acoustical, glottal and biomechanical parameters were extracted from neutral and stressed speech from 31 women. The stress was elicited by asking the speaker to defend her false opinion in a controversial topic. The importance of the parameters was evaluated accordingly to Pearson´s coefficient, and the most relevant ones were tested in a SVM classification algorithm. We have found out that the most relevant parameters to characterize stress are pitch and the biomechanical parameters of body mass and body stiffness of the vocal folds.
Keywords :
speech processing; support vector machines; Pearson coefficient; SVM classification algorithm; biomechanical parameters; body mass; body stiffness; emotional stress characterization; glottal parameters; neutral speech; speech parameter selection; stressed speech; vocal folds; Biomechanics; Cepstral analysis; Classification algorithms; Speech; Speech processing; Stress; Support vector machines; Glottal source; biomechanical parameters; emotional stress; speaker biometry; voice production;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bio-inspired Intelligence (IWOBI), 2014 International Work Conference on
Conference_Location :
Liberia
Type :
conf
DOI :
10.1109/IWOBI.2014.6913932
Filename :
6913932
Link To Document :
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