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Conference Papers Year : 2014

SLAM: Automatic Stylization and Labelling of Speech Melody


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.
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Dates and versions

hal-00968950 , version 1 (30-05-2014)


  • HAL Id : hal-00968950 , version 1


Nicolas Obin, Julie Beliao, Christophe Veaux, Anne Lacheret. SLAM: Automatic Stylization and Labelling of Speech Melody. Speech Prosody, May 2014, Ireland. pp.246 - 250. ⟨hal-00968950⟩
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