TY - GEN
T1 - From speech to personality
T2 - 20th ACM International Conference on Multimedia, MM 2012
AU - Mohammadi, Gelareh
AU - Origlia, Antonio
AU - Filippone, Maurizio
AU - Vinciarelli, Alessandro
PY - 2012
Y1 - 2012
N2 - From a cognitive point of view, personality perception corresponds to capturing individual differences and can be thought of as positioning the people around us in an ideal personality space. The more similar the personality of two individuals, the closer their position in the space. This work shows that the mutual position of two individuals in the personality space can be inferred from prosodic features. The experiments, based on ordinal regression techniques, have been performed over a corpus of 640 speech samples comprising 322 individuals assessed in terms of personality traits by 11 human judges, which is the largest database of this type in the literature. The results show that the mutual position of two individuals can be predicted with up to 80% accuracy.
AB - From a cognitive point of view, personality perception corresponds to capturing individual differences and can be thought of as positioning the people around us in an ideal personality space. The more similar the personality of two individuals, the closer their position in the space. This work shows that the mutual position of two individuals in the personality space can be inferred from prosodic features. The experiments, based on ordinal regression techniques, have been performed over a corpus of 640 speech samples comprising 322 individuals assessed in terms of personality traits by 11 human judges, which is the largest database of this type in the literature. The results show that the mutual position of two individuals can be predicted with up to 80% accuracy.
KW - big five personality model
KW - nonverbal vocal behavior
KW - personality assessment
KW - social signal processing
UR - http://www.scopus.com/inward/record.url?scp=84871359349&partnerID=8YFLogxK
U2 - 10.1145/2393347.2396313
DO - 10.1145/2393347.2396313
M3 - Conference contribution
AN - SCOPUS:84871359349
SN - 9781450310895
T3 - MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia
SP - 789
EP - 792
BT - MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia
Y2 - 29 October 2012 through 2 November 2012
ER -