SLAM: Automatic Stylization and Labelling of Speech MelodyReportar como inadecuado

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1 STMS - Sciences et Technologies de la Musique et du Son 2 MoDyCo - Modèles, Dynamiques, Corpus 3 CSTR - The Centre for Speech Technology Research Edinburgh

Abstract : This paper presents SLAM : a simple method for the automatic Stylization and LAbelling of speech Melody. This main contributions over existing methods are : the alphabet of melodic contours is fully data-driven, an explicit time-frequency representation is used to derive complex melodic contours, and melodic contours can be determined over arbitrary prosodic-syntactic units. Additionally, the system can handle some specificities of spontaneous speech e.g., multi speakers, speech turns and speech overlaps. A preliminary experiment conducted on 3 hours of spoken French indicates that a small number of contours is sufficient to explain most of the observed contours. The method can be easily adapted to other stressed languages. The implementation is open-source and freely available.

Autor: Nicolas Obin - Julie Beliao - Christophe Veaux - Anne Lacheret -



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