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Validation of an intelligibility test based on acoustic-phonetic decoding of pseudo-words: overall results from patients with cancer of the oral cavity and the oropharynx
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In: ISSN: 1021-7762 ; EISSN: 1421-9972 ; Folia Phoniatrica et Logopaedica ; https://hal.archives-ouvertes.fr/hal-03448354 ; Folia Phoniatrica et Logopaedica, Karger, In press, ⟨10.1159/000519427⟩ (2021)
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Construction of an automatic score for the evaluation of speech disorders among patients treated for a cancer of the oral cavity or the oropharynx: The Carcinologic Speech Severity Index
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In: ISSN: 1043-3074 ; EISSN: 1097-0347 ; Head and Neck ; https://hal-univ-tlse3.archives-ouvertes.fr/hal-03413678 ; Head and Neck, Wiley, In press, ⟨10.1002/hed.26903⟩ (2021)
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C2SI corpus: a database of speech disorder productions to assess intelligibility and quality of life in head and neck cancers
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In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-02921918 ; Language Resources and Evaluation, Springer Verlag, 2021, 55 (1), pp.173-190. ⟨10.1007/s10579-020-09496-3⟩ ; https://link.springer.com/article/10.1007/s10579-020-09496-3 (2021)
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Du recueil à l’exploitation des corpus de parole « pathologique » : comment accéder à la variation physiopathologique ?
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In: ISSN: 1638-9808 ; EISSN: 1765-3126 ; Corpus ; https://halshs.archives-ouvertes.fr/halshs-03379968 ; Corpus, Bases, Corpus, Langage - UMR 7320, 2021, ⟨10.4000/corpus.5677⟩ (2021)
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Du recueil à l’exploitation des corpus de parole « pathologique » : comment accéder à la variation physiopathologique ?
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In: ISSN: 1638-9808 ; EISSN: 1765-3126 ; Corpus ; https://hal.archives-ouvertes.fr/hal-03145102 ; Corpus, Bases, Corpus, Langage - UMR 7320, 2021, ⟨10.4000/corpus.5677⟩ (2021)
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Optimizing linguistic materials for feature-based intelligibility assessment in speech impairments
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In: ISSN: 1554-351X ; EISSN: 1554-3528 ; Behavior Research Methods ; https://hal.archives-ouvertes.fr/hal-03325628 ; Behavior Research Methods, Psychonomic Society, Inc, 2021, ⟨10.3758/s13428-021-01610-9⟩ (2021)
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Discriminating speakers using perceptual clustering interface
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In: XVII AISV Conference: Speaker Individuality in Phonetics and Speech Sciences: Speech Technology and Forensic Applications ; https://hal.archives-ouvertes.fr/hal-03160943 ; XVII AISV Conference: Speaker Individuality in Phonetics and Speech Sciences: Speech Technology and Forensic Applications, Feb 2021, Zurich, Switzerland (2021)
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Carcinologic Speech Severity Index Project: A Database of Speech Disorder Productions to Assess Quality of Life Related to Speech After Cancer
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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
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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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Automatic Evaluation of Speech Intelligibility Based on i-vectors in the Context of Head and Neck Cancers
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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)
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Automatic Prediction of Speech Evaluation Metrics for Dysarthric Speech
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In: Interspeech ; https://hal.archives-ouvertes.fr/hal-01771613 ; Interspeech, Aug 2017, Stockholm, Sweden (2017)
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Abstract:
International audience ; During the last decades, automatic speech processing systems witnessed an important progress and achieved remarkable reliability. As a result, such technologies have been exploited in new areas and applications including medical practice. In disordered speech evaluation context, perceptual evaluation is still the most common method used in clinical practice for the diagnosing and the following of the condition progression of patients despite its well documented limits (such as subjectivity). In this paper, we propose an automatic approach for the prediction of dysarthric speech evaluation metrics (intelligibility, severity, articulation impairment) based on the representation of the speech acoustics in the total variability subspace based on the i-vectors paradigm. The proposed approach, evaluated on 129 French dysarthric speakers from the DesPhoAPady and VML databases, is proven to be efficient for the modeling of patient's production and capable of detecting the evolution of speech quality. Also, low RMSE and high correlation measures are obtained between automatically predicted metrics and perceptual evaluations.
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Keyword:
[INFO]Computer Science [cs]; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; automatic speech processing; i-vectors; Index Terms: Dysarthria; speech disorders; speech intelligibility
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URL: https://hal.archives-ouvertes.fr/hal-01771613/file/intelligibility_prediction_vf.pdf https://hal.archives-ouvertes.fr/hal-01771613 https://hal.archives-ouvertes.fr/hal-01771613/document
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The TYPALOC Corpus: A Collection of Various Dysarthric Speech Recordings in Read and Spontaneous Styles
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In: Language Resources and Evaluation Conference (LREC) ; https://halshs.archives-ouvertes.fr/halshs-01401377 ; Language Resources and Evaluation Conference (LREC), May 2016, Portoroz, Slovenia. p 4658-4665 (2016)
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What kind of intelligibility test to assess speech production disorders ? ; Quels tests d'intelligibilité pour évaluer les troubles de production de la parole ?
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In: Actes de la conférence conjointe JEP-TALN-RECITAL 2016 -vol 1 ; Journées d'Etude sur la Parole ; https://hal.archives-ouvertes.fr/hal-01372037 ; Journées d'Etude sur la Parole, 2016, Paris, France. pp.589-596 (2016)
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Evaluation of a Phone-Based Anomaly Detection Approach for Dysarthric Speech
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In: Interspeech 2016 ; https://hal.archives-ouvertes.fr/hal-02102786 ; Interspeech 2016, Sep 2016, San Francisco, United States. pp.223-227, ⟨10.21437/Interspeech.2016-1077⟩ (2016)
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Détection automatique d'anomalies sur deux styles de parole dysarthrique: parole lue vs spontanée
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In: Journées d'Études sur la Parole ; https://hal.archives-ouvertes.fr/hal-01462226 ; Journées d'Études sur la Parole, Jul 2016, Paris, Région indéterminée. pp.9 (2016)
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What Makes a Speaker Recognizable in TV Broadcast? Going Beyond Speaker Identification Error Rate
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In: Interspeech 2015 ; ERRARE Workshop, a satellite event of Interspeech 2015. ; https://hal.archives-ouvertes.fr/hal-01433205 ; ERRARE Workshop, a satellite event of Interspeech 2015., 2015, Sinaia, Romania (2015)
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Automatic Detection of Phoneme-Based Anomalies in Dysarthric Speech
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In: ISSN: 1936-7228 ; EISSN: 1936-7236 ; ACM Transactions on Accessible Computing ; https://hal.archives-ouvertes.fr/hal-01485312 ; ACM Transactions on Accessible Computing , ACM New York, NY, USA 2015, Vol. 6 n° 3 (2015)
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Automatic speech processing for dysarthria: A study of Inter-pathology variability
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In: 18th International Congress of Phonetic Sciences 18 ; https://hal.archives-ouvertes.fr/hal-01498821 ; 18th International Congress of Phonetic Sciences 18, Aug 2015, Glasgow, United Kingdom. pp.5 (2015)
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Traitement automatique de la parole dysarthrique: Etude de la variabilité inter-pathologique
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In: Journées de Phonétique Clinique 6 ; https://hal.archives-ouvertes.fr/hal-01498892 ; Journées de Phonétique Clinique 6, Jun 2015, Montpellier, France. non paginé (2015)
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