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Evaluating the effects of task design on unfamiliar Francophone listener and automatic speaker identification performance., , , , and . Multim. Tools Appl., 83 (4): 10615-10635 (January 2024)Évaluer l'intelligibilité, mots ou pseudo-mots ? Comparaison entre deux groupes d'auditeurs (Assess intelligibility, words or pseudo-words? Comparison between two groups of listeners)., , , , , and . JEP-TALN-RECITAL (1), page 543-551. ATALA et AFCP, (2020)Quels tests d'intelligibilité pour évaluer les troubles de production de la parole ? (What kind of intelligibility test to assess speech production disorders?)., , , , , , , and . JEP-TALN-RECITAL (1), page 589-596. AFCP - ATALA, (2016)Exploring Pathological Speech Quality Assessment with ASR-Powered Wav2Vec2 in Data-Scarce Context., , , , and . CoRR, (2024)Evaluating the effects of modified speech on perceptual speaker identification performance., , and . INTERSPEECH, page 3073-3077. ISCA, (2022)How to Compare Automatically Two Phonological Strings: Application to Intelligibility Measurement in the Case of Atypical Speech., , , , and . LREC, page 1689-1694. European Language Resources Association, (2020)Interpreting Deep Representations of Phonetic Features via Neuro-Based Concept Detector: Application to Speech Disorders Due to Head and Neck Cancer., , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2023)A forum theater corpus for discrimination awareness., , , , , , , and . Frontiers Comput. Sci., (2023)Towards Interpreting Deep Learning Models to Understand Loss of Speech Intelligibility in Speech Disorders Step 2: Contribution of the Emergence of Phonetic Traits., , , , , and . ICASSP, page 7387-7391. IEEE, (2022)Automatic Evaluation of Speech Intelligibility Based on I-vectors in the Context of Head and Neck Cancers., , , , and . INTERSPEECH, page 2943-2947. ISCA, (2018)