In this paper, we present our work on automatic question detection from the speech signal. We are interested in developing automatic detection system and investigate the portability of such system to a new language. The first goal of this paper is to propose and evaluate a combined approach for automatic question detection where prosodic features are augmented by the use of lexical features. It is shown that both early and late integration of theses features in a decision tree-based classifier improves the question detection performance compared to a baseline system using prosodic features only. The second goal of this paper is to conduct a crosslingual (French / Vietnamese) evaluation concerning the use of prosodic features. It is shown that our first system developed for French which uses an initial prosodic feature set can be improved using a new feature set that takes into account some specific prosodic characteristics of the Vietnamese tonal language. Both Vietnamese and French question detection systems obtain F-ratio performance around 80% on pre-segmented meeting and dialog utterances.
Bibliographic reference. Quang, Vũ Minh / Besacier, Laurent / Castelli, Eric (2007): "Automatic question detection: prosodic-lexical features and crosslingual experiments", In INTERSPEECH-2007, 2257-2260.