TY - GEN
T1 - Fusion of acoustic, linguistic and psycholinguistic features for Speaker Personality Traits recognition
AU - Alam, Firoj
AU - Riccardi, Giuseppe
PY - 2014
Y1 - 2014
N2 - Behavioral analytics is an emerging research area that aims at automatic understanding of human behavior. For the advancement of this research area, we are interested in the problem of learning the personality traits from spoken data. In this study, we investigated the contribution of different types of speech features to the automatic recognition of Speaker Personality Trait (SPT) across diverse speech corpora (broadcast news and spoken conversation). We have extracted acoustic, linguistic, and psycholinguistic features and modeled their combination as input to the classification task. For the classification, we used Sequential Minimal Optimization for Support Vector Machine (SMO) together with Relief feature selection. The present study shows different levels of performance for automatically selected feature sets, and overall improved performance with their combination across diverse corpora.
AB - Behavioral analytics is an emerging research area that aims at automatic understanding of human behavior. For the advancement of this research area, we are interested in the problem of learning the personality traits from spoken data. In this study, we investigated the contribution of different types of speech features to the automatic recognition of Speaker Personality Trait (SPT) across diverse speech corpora (broadcast news and spoken conversation). We have extracted acoustic, linguistic, and psycholinguistic features and modeled their combination as input to the classification task. For the classification, we used Sequential Minimal Optimization for Support Vector Machine (SMO) together with Relief feature selection. The present study shows different levels of performance for automatically selected feature sets, and overall improved performance with their combination across diverse corpora.
KW - Affective Computing
KW - Behavioral Signal Processing
KW - NLP
KW - Paralinguistic analysis in Speech
UR - http://www.scopus.com/inward/record.url?scp=84905259230&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2014.6853738
DO - 10.1109/ICASSP.2014.6853738
M3 - Conference contribution
AN - SCOPUS:84905259230
SN - 9781479928927
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 955
EP - 959
BT - 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
Y2 - 4 May 2014 through 9 May 2014
ER -