| Paper: | SP-P3.4 | ||
| Session: | Topics in Speaker and Langauge Recognition | ||
| Time: | Tuesday, May 18, 15:30 - 17:30 | ||
| Presentation: | Poster | ||
| Topic: | Speech Processing: Speaker Recognition | ||
| Title: | THE ELISA CONSORTIUM APPROACHES IN BROADCAST NEWS SPEAKER SEGMENTATION DURING THE NIST 2003 RICH TRANSCRIPTION EVALUATION | ||
| Authors: | Daniel Moraru; CLIPS-IMAG | ||
| Sylvain Meignier; Laboratoire Informatique d'Avignon (LIA) | |||
| Corinne Fredouille; Laboratoire Informatique d'Avignon (LIA) | |||
| Laurent Besacier; CLIPS-IMAG | |||
| Jean-François Bonastre; Laboratoire Informatique d'Avignon (LIA) | |||
| Abstract: | This paper presents the ELISA consortium activities in automatic speaker segmentation also known as speaker diarization during the NIST Rich Transcription (RT) 2003 evaluation. The experiments were conducted on real broadcast news data (HUB4). Two different approaches from CLIPS and LIA laboratories are presented and different possibilities of combining them are investigated, in the framework of ELISA consortium. The ELISA systems obtained the third (ELISA primary system) and the best performance (ELISA secondary system) during RT03. | ||
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