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The Signals and Images department carries out researches related to image processing, sound analysis, 3D geometry generally dealing with massive digital data. The aim is to understand their constitution, identify their content, extract their semantic and build an efficient model of these data. From such models, we may synthetize new data, extract the relevant information, or encode and transmit them.
For more information, consult the Signals and Images department presentation on the IRIT website.
Latest full text publications
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Mathieu Balaguer, Julien Pinquier, Jérôme Farinas, Virginie Woisard. Development of a holistic communication score (HoCoS) in patients treated for oral or oropharyngeal cancer: Preliminary validation. International Journal of Language and Communication Disorders, 2023, 58 (1), pp.39-51. ⟨10.1111/1460-6984.12766⟩. ⟨hal-03765649v2⟩
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Juan Manuel Coria, Hervé Bredin, Sahar Ghannay, Sophie Rosset. Continual self-supervised domain adaptation for end-to-end speaker diarization. IEEE Spoken Language Technology Workshop (SLT 2022), IEEE Speech and Language Processing Technical Committee, Jan 2023, Doha, Qatar. à paraître. ⟨hal-03824546⟩
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Mathieu Balaguer, Julien Pinquier, Jérôme Farinas, Virginie Woisard. Mesure de l'altération de la communication par analyses automatiques de la parole spontanée après traitement d'un cancer oral ou oropharyngé. 18èmes Journées du Cancéropôle Grand Sud-Ouest (GSO 2022), Nov 2022, La Grande Motte, France. . ⟨hal-03998266⟩
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Lionel Fontan, Shinyoung Kim, Verdiana De Fino, Sylvain Detey. Predicting speech fluency in children using automatic acoustic features. Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2022), Asia-Pacific Signal and Information Processing Association (APSIPA), Nov 2022, Chiang Mai, Thailand. pp.1086-1091, ⟨10.23919/APSIPAASC55919.2022.9979884⟩. ⟨hal-03937320⟩
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