Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Doukhan, David"'
Autor:
Elie, Benjamin, Doukhan, David, Uro, Rémi, Ondel-Yang, Lucas, Rilliard, Albert, Devauchelle, Simon
This paper studies changes in articulatory configurations across genders and periods using an inversion from acoustic to articulatory parameters. From a diachronic corpus based on French media archives spanning 60 years from 1955 to 2015, automatic t
Externí odkaz:
http://arxiv.org/abs/2408.04519
This paper introduces a computational framework designed to delineate gender distribution biases in topics covered by French TV and radio news. We transcribe a dataset of 11.7k hours, broadcasted in 2023 on 21 French channels. A Large Language Model
Externí odkaz:
http://arxiv.org/abs/2407.14180
Autor:
Doukhan, David, Dodson, Lena, Conan, Manon, Pelloin, Valentin, Clamouse, Aurélien, Lepape, Mélina, Van Hille, Géraldine, Méadel, Cécile, Coulomb-Gully, Marlène
This study investigates the relationship between automatic information extraction descriptors and manual analyses to describe gender representation disparities in TV and Radio. Automatic descriptors, including speech time, facial categorization and s
Externí odkaz:
http://arxiv.org/abs/2406.10316
Transition Relevance Places are defined as the end of an utterance where the interlocutor may take the floor without interrupting the current speaker --i.e., a place where the turn is terminal. Analyzing turn terminality is useful to study the dynami
Externí odkaz:
http://arxiv.org/abs/2406.10073
Publikováno v:
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 8963-8974, Torino, Italia. ELRA and ICCL
InaGVAD is an audio corpus collected from 10 French radio and 18 TV channels categorized into 4 groups: generalist radio, music radio, news TV, and generalist TV. It contains 277 1-minute-long annotated recordings aimed at representing the acoustic d
Externí odkaz:
http://arxiv.org/abs/2406.04429
Autor:
Uro, Rémi, Doukhan, David, Rilliard, Albert, Larcher, Laëtitia, Adgharouamane, Anissa-Claire, Tahon, Marie, Laurent, Antoine
Publikováno v:
Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), pages 3271-3280, Marseille, 20-25 June 2022. European Language Resources Association (ELRA)
This paper presents a semi-automatic approach to create a diachronic corpus of voices balanced for speaker's age, gender, and recording period, according to 32 categories (2 genders, 4 age ranges and 4 recording periods). Corpora were selected at Fre
Externí odkaz:
http://arxiv.org/abs/2404.17552
Publikováno v:
Radek Skarnitzl & Jan Vol\'in (Eds.), Proceedings of the 20th International Congress of Phonetic Sciences (ICPhS), Prague 2023, pp. 753-757. Guarant International. ISBN 978-80-908 114-2-3
We present a diachronic acoustic analysis of the voice of 1023 speakers from French media archives. The speakers are spread across 32 categories based on four periods (years 1955/56, 1975/76, 1995/96, 2015/16), four age groups (20-35; 36-50; 51-65, >
Externí odkaz:
http://arxiv.org/abs/2404.16104
Autor:
Doukhan, David, Devauchelle, Simon, Girard-Monneron, Lucile, Ruz, Mía Chávez, Chaddouk, V., Wagner, Isabelle, Rilliard, Albert
Publikováno v:
Proc. INTERSPEECH 2023, 5207-5211
This paper presents a software allowing to describe voices using a continuous Voice Femininity Percentage (VFP). This system is intended for transgender speakers during their voice transition and for voice therapists supporting them in this process.
Externí odkaz:
http://arxiv.org/abs/2404.15176
Autor:
Doukhan, David, Rosset, Sophie, Rilliard, Albert, d'Alessandro, Christophe, Adda-Decker, Martine
Publikováno v:
Language Resources and Evaluation, 2015 Jul 01. 49(3), 521-547.
Externí odkaz:
http://www.jstor.org/stable/24710385
Autor:
BISCARRAT, Laetitia, ALEXIS, Lucie, BASILE-COMMAILLE, Evi, BEAULIEU, Laure, DOUKHAN, David, KHEMILAT, Warda, URO, Rémi
Publikováno v:
Recherches en Communication; 7/19/2023, Vol. 55, p175-192, 18p