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1
Evaluation de la compréhensibilité et conservation des fonctions prosodiques en perception de la parole de patients post traitement de cancers de la cavité buccale et du pharynx
In: XXXIIe Journées d'Etudes sur la Parole ; https://hal.archives-ouvertes.fr/hal-01962272 ; XXXIIe Journées d'Etudes sur la Parole, Jun 2018, Aix-en-Provence, France. pp.196-204, ⟨10.21437/jep.2018-23⟩ (2018)
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2
Carcinologic Speech Severity Index Project: A Database of Speech Disorder Productions to Assess Quality of Life Related to Speech After Cancer
In: Proceedings of the Eleventh International Conference on Language Resources and Evaluation - LREC 2018 ; Eleventh International Conference on Language Resources and Evaluation Conference (LREC 2018) ; https://hal.archives-ouvertes.fr/hal-01770168 ; Eleventh International Conference on Language Resources and Evaluation Conference (LREC 2018), May 2018, Miyazaki, Japan. pp.L18-1673 ; http://www.lrec-conf.org/proceedings/lrec2018/pdf/506.pdf (2018)
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Automatic evaluation of speech intelligibility in the context of head and neck cancers. ; Evaluation automatique de l'intelligibilité de la parole dans le contexte de cancers de la tête et du cou
In: XXXIIe Journées d’Études sur la Parole ; XXXIIe Journées d'Etudes sur la Parole ; https://hal.archives-ouvertes.fr/hal-01962302 ; XXXIIe Journées d'Etudes sur la Parole, 2018, Aix-en-Provence, France. pp.187-195, ⟨10.21437/jep.2018-22⟩ (2018)
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4
Automatic Evaluation of Speech Intelligibility Based on i-vectors in the Context of Head and Neck Cancers
In: Interspeech 2018 ; Interspeech ; https://hal.archives-ouvertes.fr/hal-01962170 ; Interspeech, Sep 2018, Hyderabad, India. pp.2943-2947, ⟨10.21437/interspeech.2018-1266⟩ (2018)
Abstract: International audience ; In disordered speech context, and despite its well-known sub-jectivity, perceptual evaluation is still the most commonly used method in clinical practice to evaluate the intelligibility level of patients' speech productions. However, and thanks to increasing computing power, automatic speech processing systems have witnessed a democratization in terms of users and application areas including the medical practice. In this paper, we evaluate an automatic approach for the prediction of cancer patients' speech intelligibility based on the representation of the speech acoustics in the total variability subspace based on the i-vector paradigm. Experimental evaluations of the proposed predictive approach have shown a very high correlation rate with perceptual intelligibility when applied on the French speech corpora C2SI (r=0.84). They have also demonstrated the robustness of the approach when using a limited amount of disordered speech per patient, which may lead to the redesign and alleviation of the test protocols usually used in disordered speech evaluation context.
Keyword: [INFO]Computer Science [cs]; [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; automatic speech processing; Cancer ORL; head and neck cancers; i-vectors; Intelligibilité; intelligibility; Parole; Phonétique clinique; speech disorders; Traitement automatique de la parole; Troubles de la parole
URL: https://hal.archives-ouvertes.fr/hal-01962170/document
https://hal.archives-ouvertes.fr/hal-01962170/file/1266.pdf
https://hal.archives-ouvertes.fr/hal-01962170
https://doi.org/10.21437/interspeech.2018-1266
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