B. Bigi, SPPAS -Multi-lingual Approaches to the Automatic Annotation of Speech-I-II, The Phonetician - International Society of Phonetic Sciences, pp.54-69, 2015.

J. R. Duffy, Motor Speech Disorders, substrates, differential diagnosis, and management, pp.978-0323072007, 2013.

C. Fougeron, L. Crevier-buchman, C. Fredouille, A. Ghio, C. Meunier et al., Developing an acoustic-phonetic characterization of dysarthric speech in French, Proceedings of Language Resource and Evaluation Conference, pp.2831-2838, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00528520

S. Galliano, E. Geoffrois, D. Mostefa, K. Choukri, J. F. Bonastre et al., ESTER phase II evaluation campaign for the rich transcription of French broadcast news, Proceedings of Interspeech'05, pp.1149-1152, 2005.

T. Joachims, Making large-scale SVM learning practical, Advances in Kernel Methods -Support Vector Learning, pp.169-184, 1999.

I. Laaridh, C. Fredouille, and C. Meunier, Automatic Detection of Phone-Based Anomalies in Dysarthric Speech, TACCESS) -Special Issue on Speech and Language Processing for AT (PART 1), 2015.
DOI : 10.1159/000336890

I. Laaridh, C. Fredouille, and C. Meunier, Automatic anomaly detection for dysarthria across two speech styles: read vs spontaneous speech, 10th edition of the Language Resources and Evaluation Conference, LREC'16, pp.23-28, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01420956

B. E. Murdoch, Dysarthria: A Physiological Approach to Assessment and Treatment, 1998.

;. B. Scholkopf and A. J. Smola, Learning with Kernels: Sup-port Vector Machines, Regularization, Optimization, and Beyond, 2001.

V. Vapnik, The Nature of Statistical Learning Theory, 1995.