Detecting individual role using features extracted from speaker diarization results

Author:

Bigot Benjamin,Ferrané Isabelle,Pinquier Julien,André-Obrecht Régine

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference27 articles.

1. Banerjee S, Rudnicky AI (2006) You are what you say: using meeting participants speech to detect their roles and expertise. In: NAACL-HLT workshop on analyzing conversations in text and speech. New York, USA

2. Barzilay R, Collins M, Hirschberg J, Whittaker S (2000) The rules behind roles: identifying speaker role in radio broadcasts. In: Proceedings of the seventeenth national conference on artificial intelligence and twelfth conference on innovative applications of artificial intelligence. AAAI Press/The MIT Press, pp 679–684

3. Béchet F, Gorin AL, Wright JH, Hakkani-Tur D (2004) Detecting and extracting named entities from spontaneous speech in a mixed initiative spoken dialogue context: how may I help you? Speech Commun 42(2):207–225

4. Bigot B, Ferrané I (2008) From audio content analysis to conversational speech detection and characterization. In: ACM SIGIR workshop: searching spontaneous conversational speech (SSCS), Singapore, pp 62–65

5. Bigot B, Ferrané I, Al Abidin Ibrahim Z (2008) Towards the detection and the characterization of conversational speech zones in audiovisual documents. In: International workshop on content-based multimedia indexing (CBMI). IEEE, pp 162–169

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