The Rules Behind Roles: Identifying Speaker Role in Radio Broadcasts
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Improved speaker diarization system for meetings
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
A detection-based approach to broadcast news video story segmentation
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Initial study on automatic identification of speaker role in broadcast news speech
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Locating case discussion segments in recorded medical team meetings
SSCS '09 Proceedings of the third workshop on Searching spontaneous conversational speech
IEEE Transactions on Multimedia
Topic indexing of TV broadcast news programs
PROPOR'03 Proceedings of the 6th international conference on Computational processing of the Portuguese language
IEEE Transactions on Multimedia
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In the audio indexing context, we present our recent contributions to the field of speaker role recognition, especially applied to conversational speech. We assume that there exist clues about roles like Anchor, Journalists or Others in temporal, acoustic and prosodic features extracted from the results of speaker segmentation and from audio files. In this paper, investigations are done on the EPAC corpus, mainly containing conversational documents. First, an automatic clustering approach is used to validate the proposed features and the role definitions. In a second study we propose a hierarchical supervised classification system. The use of dimensionality reduction methods as well as feature selection are investigated. This system correctly classifies 92% of speaker roles