Extracting information from large data is a challenging task. In this paper, we investigate the link between speech spontaneity levels and speaker roles, and the relevance to use an automatic spontaneous speech characterization as a speaker role identification feature. Applying this automatic spontaneous speech characterization system to a broadcast news corpus containing ten manually labeled speaker roles allowed us to highlight this relationship. So, we propose to directly apply the spontaneous speech characterization approach in order to automatically recognize speaker roles. Experimental results show that characteristics used to detect speech spontaneity could be very useful to recognize speaker roles, as we reached an overall classification precision of 74.4%.
Bibliographic reference. Dufour, Richard / Estève, Yannick / Deléglise, Paul (2011): "Investigation of spontaneous speech characterization applied to speaker role recognition", In INTERSPEECH-2011, 917-920.