Comparaison de trois outils de détection automatique de proéminences en français parlé

This paper presents the inner details of three different algorithms for prominence detection. On the basis of a 50- minute corpus made of five speaking styles and manually annotated for prominence, a quantitative evaluation compares the three approaches.

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