Katarina Bartkova

France Télécom R&D

Session JEP poster P6   Jeudi 12 Juin - 10h30 12h30

• papier 1645 Découpage prosodique sur différents types de segmentations phonémiques


• Natalia Segal  ( France Télécom R&D)
• Katarina Bartkova  ( France Télécom R&D)
• Résumé : This paper presents the assessment of prosodic boundary detection algorithms using the prosodic structure representation in the form of trees, with different types of phonemic segmentations. Two types of prosodic boundary detection algorithms were studied, first using linguistic and prosodic information and second using only prosodic information [5, 6]. The algorithms were applied to different kinds of phonemic segmentations in order to find out the limits of their applicability to various automatic speech processing tasks. We analyzed the degradation of performance according to phonetic segmentation quality, including manually verified segmentation, automatic alignment and phonemic decoding using a phoneme trigram. We also evaluated and compared the two algorithms on a larger spontaneous speech data base with automatic alignment.
• article



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