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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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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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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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Documents
279
Distribution per document type