Overlaps and Gender Analysis in the Context of Broadcast Media

Martin Lebourdais, Marie Tahon, Antoine Laurent, Sylvain Meignier, Anthony Larcher

Abstract
Our main goal is to study the interactions between speakers according to their gender and role in broadcast media. In this paper, we propose an extensive study of gender and overlap annotations in various speech corpora mainly dedicated to diarisation or transcription tasks. We point out the issue of the heterogeneity of the annotation guidelines for both overlapping speech and gender categories. On top of that, we analyse how the speech content (casual speech, meetings, debate, interviews, etc.) impacts the distribution of overlapping speech segments. On a small dataset of 93 recordings from LCP French channel, we intend to characterise the interactions between speakers according to their gender. Finally, we propose a method which aims to highlight active speech areas in terms of interactions between speakers. Such a visualisation tool could improve the efficiency of qualitative studies conducted by researchers in human sciences.
Anthology ID:
2022.lrec-1.349
Volume:
Proceedings of the Thirteenth Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
3264–3270
Language:
URL:
https://aclanthology.org/2022.lrec-1.349
DOI:
Bibkey:
Cite (ACL):
Martin Lebourdais, Marie Tahon, Antoine Laurent, Sylvain Meignier, and Anthony Larcher. 2022. Overlaps and Gender Analysis in the Context of Broadcast Media. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 3264–3270, Marseille, France. European Language Resources Association.
Cite (Informal):
Overlaps and Gender Analysis in the Context of Broadcast Media (Lebourdais et al., LREC 2022)
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PDF:
https://preview.aclanthology.org/nschneid-patch-1/2022.lrec-1.349.pdf
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