A. Brown and G. J. Docherty, Phonetic variation in dysarthric speech as a function of sampling task, International Journal of Language & Communication Disorders, vol.30, issue.1, pp.17-35, 1995.
DOI : 10.3109/13682829509031320

J. Carmichael, Introducing objective acoustic metrics for the Frenchay Dysarthria Assessment procedure, 2007.

V. Chandola, A. Banerjee, and V. Kumar, Anomaly detection, ACM Computing Surveys, vol.41, issue.3, 2007.
DOI : 10.1145/1541880.1541882

H. Christensen, P. Green, and T. Hain, Learning speaker-specific pronunciations of disordered speech, Proceedings of Interspeech'13, 2013.

H. Christensen, I. Casanueva, S. Cunningham, P. Green, and T. Hain, homeservice: Voice-enabled assistive technology in the home using cloud-based automatic speech recognition, 4th Workshop on Speech and Language Processing for Assistive Technologies, pp.29-34, 2013.

F. L. Darley, A. E. Aronson, and J. R. Brown, Differential Diagnostic Patterns of Dysarthria, Journal of Speech Language and Hearing Research, vol.12, issue.2, pp.246-269, 1969.
DOI : 10.1044/jshr.1202.246

F. L. Darley, A. E. Aronson, and J. R. Brown, Motor speech disorders, 1975.

J. R. Duffy, Motor speech disorders: substrates, differential diagnosis and management. Motsby-Yearbook, 2005.

P. Enderby, Frenchay dysarthric assessment. Pro- Ed, 1983.
DOI : 10.3109/13682828009112541

L. J. Ferrier, N. Jarrell, T. Carpenter, S. , and H. C. , A case study of a dysarthric speaker using the dragondictate voice recognition system, Journal for Computer Users in Speech and Hearing, vol.8, issue.1, pp.33-52, 1992.

C. Fredouille and G. Pouchoulin, Automatic detection of abnormal zones in pathological speech, Intl Congress of Phonetic Sciences, 2011.
URL : https://hal.archives-ouvertes.fr/hal-01317137

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

P. Green, J. Carmichael, A. Hatzus, P. Enderby, M. Hawley et al., Automatic speech recognition with sparse training data for dysarthric speakers, Proceedings of Interspeech'03, pp.1189-1192, 2003.

J. R. Green, Y. Yunusova, M. S. Kuruvilla, J. Wang, G. L. Pattee et al., Bulbar and speech motor assessment in ALS: Challenges and future directions, Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration, vol.59, issue.48, pp.7-8494, 2013.
DOI : 10.1212/01.WNL.0000148648.38313.64

K. C. Hustad, The Relationship Between Listener Comprehension and Intelligibility Scores for Speakers With Dysarthria, Journal of Speech Language and Hearing Research, vol.51, issue.3, pp.562-573, 2008.
DOI : 10.1044/1092-4388(2008/040)
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3016201

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

D. Kempler and D. Van-lancker, Effect of Speech Task on Intelligibility in Dysarthria: A Case Study of Parkinson's Disease, Brain and Language, vol.80, issue.3, pp.449-464, 2002.
DOI : 10.1006/brln.2001.2602

R. D. Kent, G. Weismer, J. F. Kent, H. K. Vorperian, D. et al., Acoustic studies of dysarthric speech, Journal of Communication Disorders, vol.32, issue.3, pp.141-186, 1999.
DOI : 10.1016/S0021-9924(99)00004-0

M. Kim and H. Kim, Automatic Assessment of Dysarthric Speech Intelligibility Based on Selected Phonetic Quality Features, Computers Helping People with Special Needs, pp.447-450, 2012.
DOI : 10.1007/978-3-642-31534-3_66

I. Laaridh, C. Fredouille, and C. Meunier, Automatic Detection of Phone-Based Anomalies in Dysarthric Speech, ACM Transactions on Accessible Computing, vol.6, issue.3, pp.1-9, 2015.
DOI : 10.1145/2739050

I. Laaridh, C. Fredouille, and C. Meunier, Automatic speech processing for dysarthria: A study of interpathology variability, Proceedings of Intl Congress of Phonetic Sciences (ICPHs'15), 2015.
URL : https://hal.archives-ouvertes.fr/hal-01498821

A. Lowit and R. D. Kent, Assessment of motor speech disorders, 2010.

M. J. Mcauliffe, E. C. Ward, M. , and B. E. , Speech production in Parkinson's disease: I. An electropalatographic investigation of tongue???palate contact patterns, Clinical Linguistics & Phonetics, vol.8, issue.1, pp.1-18, 2006.
DOI : 10.1016/0021-9924(74)90030-6

C. Meunier, C. Fougeron, C. Fredouille, B. Bigi, L. Crevier et al., The typaloc corpus: A collection of various dysarthric speech in read and spontaneous speech, Proceedings of the International Conference on Language Resources and Evaluation (LREC'16), 2016.
URL : https://hal.archives-ouvertes.fr/halshs-01401377

C. Middag, J. Martens, G. V. Nuffelen, and M. D. Bodt, Automated Intelligibility Assessment of Pathological Speech Using Phonological Features, EURASIP Journal on Advances in Signal Processing, vol.22, issue.140, 2009.
DOI : 10.1109/TASSP.1980.1163420

G. V. Nuffelen, C. Middag, M. D. Bodt, and J. Martens, Speech technology???based assessment of phoneme intelligibility in dysarthria, International Journal of Language & Communication Disorders, vol.44, issue.5, pp.44716-730, 2009.
DOI : 10.1080/13682820802342062

M. Parker, S. Cunningham, P. Enderby, M. Hawley, and P. Green, Automatic speech recognition and training for severely dysarthric users of assistive technology: The STARDUST project, Clinical Linguistics & Phonetics, vol.20, issue.2-3, pp.2-3149, 2006.
DOI : 10.1080/07434619712331277858

K. M. Rosen and S. Yampolsky, Automatic speech recognition and a review of its functioning with dysarthric speech, Augmentative and Alternative Communication, vol.4, issue.2, pp.48-60, 2000.
DOI : 10.1080/07434619112331275663

K. M. Rosen, R. D. Kent, A. L. Delaney, D. , and J. R. , Parametric Quantitative Acoustic Analysis of Conversation Produced by Speakers With Dysarthria and Healthy Speakers, Journal of Speech Language and Hearing Research, vol.49, issue.2, pp.395-411, 2006.
DOI : 10.1044/1092-4388(2006/031)

B. Scholkopf and A. J. Smola, Learning with Kernels: Support Vector Machines, Regularization, Optimization , and Beyond, 2001.

B. Tomik and J. Guiloff, Dysarthria in amyotrophic lateral sclerosis: A review, Amyotrophic Lateral Sclerosis, vol.60, issue.5, pp.4-15, 2010.
DOI : 10.1001/archneur.1979.00500400056008

D. Van-lancker-sidtis, K. Cameron, and J. J. Sidtis, Dramatic effects of speech task on motor and linguistic planning in severely dysfluent parkinsonian speech, Clinical Linguistics & Phonetics, vol.53, issue.8, pp.26695-711, 2012.
DOI : 10.1016/S0271-5309(99)00015-4

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

K. M. Yorkston, E. Strand, and M. Kennedy, Comprehensibility of Dysarthric Speech, American Journal of Speech-Language Pathology, vol.5, issue.1, pp.55-66, 1996.
DOI : 10.1044/1058-0360.0501.55