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Simple Search
Hits 1 – 7 of 7
1
Multivariate predictive model for dyslexia diagnosis
Gombert, Jean Émile
;
Trolès, Nolwenn
;
Scalart, Pascal
...
In:
Annals of dyslexia. - New York, NY : Springer
61 (2011) 1, 1-20
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OLC Linguistik
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2
Towards a new reference impairment system in the subjective evaluation of speech codecs
Gros, Laetitia
;
Etame, Thierry
;
Quinquis, Catherine
...
In:
Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst.
19 (2011) 5, 1301-1315
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OLC Linguistik
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3
Multivariate predictive model for dyslexia diagnosis
Le Jan, Guylaine
;
Le Bouquin Jeannes, Régine
;
Costet, Nathalie
;
Troles, Nolwenn
;
Scalart, Pascal
;
Pichancourt, Dominique
;
Faucon, Gérard
;
Gombert, Jean-Emile
In: ISSN: 0736-9387 ; EISSN: 1934-7243 ; Annals of Dyslexia ; https://hal.archives-ouvertes.fr/hal-00747325 ; Annals of Dyslexia, Springer Verlag, 2010, 61 (1), pp.1 - 20. ⟨10.1007/s11881-010-0038-5⟩ (2010)
Abstract:
International audience ; Dyslexia is a specific disorder of language development that mainly affects reading. Etiological researches have led to multiple hypotheses which induced various diagnosis methods and rehabilitation treatments so that many different tests are used by practitioners to identify dyslexia symptoms. Our purpose is to determine a subset of the most efficient ones by integrating them into a multivariate predictive model. A set of screening tasks that are the most commonly used and representative of the different cognitive aspects of dyslexia was proposed to 78 children from elementary school (mean age=9 years±7 months) exempt from identified reading difficulties and to 35 dyslexic children attending a specialized consultation for dyslexia. We proposed a multi-step procedure: within each category, we first selected the most representative tasks using principal component analysis and then we implemented logistic regression models on the preselected variables. Spelling and reading tasks were considered separately. The model with the best predictive performance includes eight variables from four categories of tasks and classifies correctly 94% of the children. The sensitivity (91%) and the specificity (95%) are both high. Forty minutes are necessary to complete the test.
Keyword:
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
;
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
;
Diagnosis
;
Dyslexia
;
Logistic regression
;
Multivariate analysis
;
Predictive model
URL:
https://hal.archives-ouvertes.fr/hal-00747325
https://doi.org/10.1007/s11881-010-0038-5
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4
CONTRIBUTION OF AUDITORY TASKS TO DYSLEXIA SCREENING.
Le Jan, Guylaine
;
Le Bouquin Jeannes, Régine
;
Costet, Nathalie
...
In: Proceedings of the 17th European Signal Processing Conference (EUSIPCO) ; Proceedings of the 17th European Signal Processing Conference (EUSIPCO). ; https://hal.archives-ouvertes.fr/hal-00913836 ; Proceedings of the 17th European Signal Processing Conference (EUSIPCO)., Aug 2009, Glasgow, United Kingdom. pp.2342-6 (2009)
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5
Elaboration d'un outil de diagnostic pour la dyslexie développementale
Troles, Nolwenn
;
Le Jan, Guylaine
;
Le Bouquin Jeannès, Régine
...
In: Congrès de la Société Française de Psychologie ; https://hal.inria.fr/inria-00482626 ; Congrès de la Société Française de Psychologie, Société Française de Osychologie, Sep 2007, Nantes, France (2007)
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6
Acoustic echo control and speech enhancement techniques
Gilloire, André
(Hrsg.);
Hänsler, Eberhard
(Hrsg.);
Kellerman, Walter
(Hrsg.)...
In:
Speech communication. - Amsterdam [u.a.] : Elsevier
20 (1996) 3-4, 177-254
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7
Study of a voice activity detector and its influence on a noise reduction system
Le Bouquin-Jeannès, Régine
;
Faucon, Gérard
In:
Speech communication. - Amsterdam [u.a.] : Elsevier
16 (1995) 3, 245-254
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