SPEAKER DIARIZATION IN THE ELISA CONSORTIUM OVER THE LAST 4 YEARS
Résumé
This paper summarizes the collaboration of the LIA and CLIPS laboratories, members of the ELISA consortium, along the last 4 year NIST speaker diarization system evaluation campaigns. In this context, two individual approaches, quite different, have been developed individually by each lab, to respond to the specific task of speaker segmentation. The first one relies on a classical two-step speaker segmentation strategy, based on the detection of speaker turns followed by a clustering process, while the second one corresponds to an integrated strategy where both segment boundaries and speaker tying of the segments are extracted simultaneously and challenged during the whole process. From these two main methods, various strategies were investigated for the fusion of segmentation results. Through the performance achieved along the different evaluation campaigns as well as the experience gained by the LIA and CLIPS labs in the speaker diarization task, a discussion about the overall work done in this evaluation context is drawn in this paper, proposing further investigation and progression.
Domaines
Informatique et langage [cs.CL]Origine | Fichiers produits par l'(les) auteur(s) |
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