SLAM: Automatic Stylization and Labelling of Speech Melody

Nicolas Obin, Julie Beliao, Christophe Veaux, Anne Lacheret

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

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 .
Original languageEnglish
Title of host publication7th International Conference on Speech Prosody
Pages246 - 250
Number of pages5
Publication statusPublished - May 2014
Event7th International Conference on Speech Prosody - Trinity College, Dublin, Ireland
Duration: 20 May 201423 May 2014


Conference7th International Conference on Speech Prosody


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