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In the context of audio and video document indexing and retrieval, the main studies of the team deal with the correlated extraction of the audio and video information and its exploitation to propose intelligent access. This research implies studies on signal processing, on modeling and learning and also on audiovisual content structuring.
Latest full text publications
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Lila Gravellier, Maxime Le Coz, Jérôme Farinas, Julien Pinquier. Detection of Pharyngolaryngeal Activities in Real-World Settings Using Wearable Sensors. 46th annual international conference of the IEEE engineering in medicine and biology society (EMBC 2024), EMBC: Engineering in Medicine and Biology Society, Jul 2024, Orlando (Florida), United States. à paraître. ⟨hal-04561003⟩
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Martin Lebourdais, Marie Tahon, Antoine Laurent, Sylvain Meignier. Automatic Speech Interruption Detection: Analysis, Corpus, and System. Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-Coling 2024), ELRA Language Resources Association (ELRA); International Committee on Computational Linguistics (ICCL), May 2024, Torino, Italy. à paraître. ⟨hal-04576488⟩
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Sebastião Quintas, Mathieu Balaguer, Julie Mauclair, Virginie Woisard, Julien Pinquier. Automatic modelling of perceptual judges in the context of head and neck cancer speech intelligibility. International Journal of Language and Communication Disorders, 2024, pp.1--14. ⟨10.1111/1460-6984.13004⟩. ⟨hal-04405083⟩
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Marvin Lavechin, Marianne Métais, Hadrien Titeux, Alodie Boissonnet, Jade Copet, et al.. Brouhaha: multi-task training for voice activity detection, speech-to-noise ratio, and C50 room acoustics estimation. IEEE Automatic Speech Recognition and Understanding (ASRU 2023 ), IEEE, Dec 2023, Taipei, Taiwan. pp.1--7. ⟨hal-04247647⟩
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Sebastião Quintas, Mathieu Balaguer, Julie Mauclair, Virginie Woisard, Julien Pinquier. Can we use speaker embeddings on spontaneous speech obtained from medical conversations to predict intelligibility?. IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2023), IEEE, Dec 2023, Taipei, Taiwan. à paraître. ⟨hal-04230836⟩
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Romain Contrain, Julien Pinquier, Lionel Fontan, Isabelle Ferrané. Détection et classification automatiques d'erreurs de prononciation en L2 : approche basée sur les connaissances didactiques. Journée commune AFIA-TLH / AFCP “Extraction de connaissances interprétables pour l’étude de la communication parlée” (2023), Association Française pour l’Intelligence Artificielle (AFIA), collège Technologies du Langage Humain (TLH); Association Francophone de la Communication Parlée (AFCP), Dec 2023, Avignon, France. ⟨hal-04331354⟩
Documents
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