Imed Laaridh
Imed Laaridh
PhD in computer science, IRIT, University of Toulouse, France
Verifierad e-postadress på alumni.univ-avignon.fr
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Automatic prediction of speech evaluation metrics for dysarthric speech
I Laaridh, W Kheder, C Fredouille, C Meunier
242017
Automatic detection of phone-based anomalies in dysarthric speech
I Laaridh, C Fredouille, C Meunier
ACM Transactions on Accessible Computing (TACCESS) 6 (3), 1-24, 2015
212015
Carcinologic speech severity index project: A database of speech disorder productions to assess quality of life related to speech after cancer
C Astésano, M Balaguer, J Farinas, C Fredouille, A Ghio, P Gaillard, ...
Eleventh International Conference on Language Resources and Evaluation …, 2018
182018
Measurement of Tremor in the Voices of Speakers with Parkinson’s Disease
M Brückl, A Ghio, F Viallet
Procedia Computer Science 128, 47-54, 2018
14*2018
Une mesure d'intelligibilité par décodage acoustico-phonétique de pseudo-mots dans le cas de parole atypique
A Ghio, M Lalain, L Giusti, G Pouchoulin, D Robert, M Rebourg, ...
82018
Automatic speech processing for dysarthria: A study of inter-pathology variability.
I Laaridh, C Fredouille, C Meunier
ICPhS, 2015
82015
Automatic evaluation of speech intelligibility based on i-vectors in the context of head and neck cancers
I Laaridh, C Fredouille, A Ghio, M Lalain, V Woisard
72018
Automatic anomaly detection for dysarthria across two speech styles: Read vs spontaneous speech
I Laaridh, C Fredouille, C Meunier
Proceedings of the Tenth International Conference on Language Resources and …, 2016
62016
The TYPALOC corpus: A collection of various dysarthric speech recordings in read and spontaneous styles
C Meunier, C Fougeron, C Fredouille, B Bigi, L Crevier-Buchman, ...
Language Resources and Evaluation Conference (LREC), p 4658-4665, 2016
62016
Dysarthric speech evaluation: automatic and perceptual approaches
I Laaridh, C Meunier, C Fredouille
Language Resources and Evaluation Conference, 2018
42018
Acoustic-phonetic decoding for speech intelligibility evaluation in the context of Head and Neck Cancers
C Fredouille, A Ghio, I Laaridh, M Lalain, V Woisard
32019
Evaluation of a phone-based anomaly detection approach for dysarthric speech
I Laaridh, C Fredouille, C Meunier
32016
The typaloc corpus: A collection of various dysarthric speech in read and spontaneous speech
C Meunier, C Fougeron, C Fredouille, B Bigi, L Crevier-Buchman, ...
Language Resource and Evaluation Conference, 8, 2016
22016
French adaptation of the “Frenchay Dysarthria Assessment 2” speech intelligibility test
A Ghio, L Giusti, E Blanc, S Pinto
European annals of otorhinolaryngology, head and neck diseases 137 (2), 111-116, 2020
12020
Perceptual evaluation for automatic anomaly detection in disordered speech: Focus on ambiguous cases
I Laaridh, C Meunier, C Fredouille
Speech Communication 105, 23-33, 2018
12018
Perceptual and Automatic Evaluations of the Intelligibility of Speech Degraded by Noise Induced Hearing Loss Simulation
I Laaridh, J Tardieu, C Magnen, P Gaillard, J Farinas, J Pinquier
12018
Évaluation de la parole dysarthrique: Apport du traitement automatique de la parole face ā l’expertise humaine
I Laaridh
12017
Using automatic speech recognition for the prediction of impaired speech identification (Speech In Noise Workshop, Ghent, Belgique, 10/01/2019-11/01/2019)
L Fontan, I Laaridh, J Farinas, J Pinquier, M Le Coz, C Füllgrabe
2020
C2SI corpus: a database of speech disorder productions to assess intelligibility and quality of life in head and neck cancers
V Woisard, C Astésano, M Balaguer, J Farinas, C Fredouille, P Gaillard, ...
Language Resources and Evaluation, 1-18, 2020
2020
Sur l’utilisation de la reconnaissance automatique de la parole pour l’aide au diagnostic différentiel entre la maladie de Parkinson et l’AMS (On using automatic speech …
I Laaridh, J Mauclair
Actes de la 6e conférence conjointe Journées d'Études sur la Parole (JEP …, 2020
2020
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Artiklar 1–20