Abstract | ||
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Modern TV or radio news talk-shows include a variety of sequences which comply with specific journalistic patterns, including debates, interviews, reports. The paper deals with automatic chapter generation for TV news talk-shows, according to these different journalistic genres. It is shown that linguistic and speaker-distribution based features can lead to an efficient characterization of these genres when the boundaries of the chapters are known, and that a speaker distribution based segmentation is suitable for segmenting contents into these different genres. Evaluations on a collection of 42 episodes of a news talk-show provided by the French evaluation campaign REPERE show promising performance. |
Year | Venue | Keywords |
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2015 | 16TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2015), VOLS 1-5 | Chapter generation, Structural segmentation TV-Content Segmentation |
Field | DocType | Citations |
Computer science,Multimedia | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
delphine charlet | 1 | 163 | 25.36 |
Géraldine Damnati | 2 | 185 | 26.15 |
Jérémy Trione | 3 | 0 | 0.34 |