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Communication Dans Un Congrès Année : 2019

Acoustic-phonetic decoding for speech intelligibility evaluation in the context of Head and Neck Cancers

Corinne Fredouille
Alain Ghio
Imed Laaridh
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  • PersonId : 996854
  • IdRef : 223527904
Muriel Lalain
Virginie Woisard
  • Fonction : Auteur
  • PersonId : 1006437

Résumé

In addition to health problems, Head and Neck Cancers (HNC) can cause serious speech disorders that can lead to partial or complete loss of speech intel-ligibility in some patients. The clinician's evaluation of the intelligibility level before or after surgical treatment and / or during the rehabilitation phase is an important part of the clinical assessment. Perceptive assessment is the most widely used method in clinical practice to assess the level of intelligibility of a patient despite the limitations associated with it such as subjectivity and moderate reproducibility. In this paper, we propose to overcome these limitations by associating a specific task of speech production based on pseudo-words with an automatic speech processing system, both oriented towards acoustic-phonetic decoding. Compared to human perception, the automatic system reaches very high correlation rates and promising results when applied to a French speech corpus including 41 healthy speakers and 85 patients suffering from HNC.
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Dates et versions

hal-02281868 , version 1 (09-09-2019)

Identifiants

  • HAL Id : hal-02281868 , version 1

Citer

Corinne Fredouille, Alain Ghio, Imed Laaridh, Muriel Lalain, Virginie Woisard. Acoustic-phonetic decoding for speech intelligibility evaluation in the context of Head and Neck Cancers. International Congress of Phonetic Sciences (ICPhS), 2019, Melbourne, Australia. pp.3051-3055. ⟨hal-02281868⟩
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