I.: Age and gender classification using fusion of acoustic and prosodic features

This paper presents a description of the INESC-ID Spoken Language Systems Laboratory (L2F) Age and Gender classifi-cation system submitted to the INTERSPEECH 2010 Paralin-guistic Challenge. The L2F Age classification system and the Gender classification system are composed respectively by the fusion of four and six individual sub-systems trained with short and long term acoustic and prosodic features, different clas-sification strategies (GMM-UBM, MLP and SVM) and using four different speech corpora. The best results obtained by the calibration and linear logistic regression fusion back-end show an absolute improvement of 4.1 % on the unweighted accuracy value for the Age and 5.8 % for the Gender when compared to the competition baseline systems in the development set