12th Annual Conference of the International Speech Communication Association

Florence, Italy
August 27-31. 2011

Combining Multiple Phoneme-Based Classifiers with Audio Feature-Based Classifier for the Detection of Alcohol Intoxication

Claude Montacié (1), Marie-José Caraty (2)

(1) STIH (EA 4509), France
(2) LIPADE, France

This article describes the two systems which we submitted for the Intoxication Sub-Challenge of INTERSPEECH 2011 Speaker State Challenge. At first, we developed an Extended Baseline System with a significant improvement of the unweighted accuracy compared to the Official Baseline System (OBS) on the development set. Then, we investigated the phonetic variations of speech under alcoholisation and developed gender-dependent Phoneme-based SVM classifiers. For this purpose, we selected the most relevant phonemes and investigated the combination of six Phoneme-based SVM classifiers (MP). Its results in accuracy are slightly below the OBS results. Finally, the combination of the two systems is presented.

Full Paper

Bibliographic reference.  Montacié, Claude / Caraty, Marie-José (2011): "Combining multiple phoneme-based classifiers with audio feature-based classifier for the detection of alcohol intoxication", In INTERSPEECH-2011, 3205-3208.