M. J. Pickering and S. Garrod, Abstract, Behavioral and Brain Sciences, vol.1, issue.04
DOI : 10.1037/0096-1523.33.4.915

F. Pulvermüller and L. Fadiga, Active perception: sensorimotor circuits as a cortical basis for language, Nature Reviews Neuroscience, vol.11, issue.5, pp.351-360, 2010.
DOI : 10.1038/nrn2811

L. Deng and J. Ma, Spontaneous speech recognition using a statistical coarticulatory model for the vocal-tract-resonance dynamics, The Journal of the Acoustical Society of America, vol.108, issue.6, pp.3036-3048, 2000.
DOI : 10.1121/1.1315288

C. Castellini, L. Badino, G. Metta, G. Sandini, M. Tavella et al., The Use of Phonetic Motor Invariants Can Improve Automatic Phoneme Discrimination, PLoS ONE, vol.13, issue.2, p.24055, 2011.
DOI : 10.1371/journal.pone.0024055.g007

S. Jou, L. Maier-hein, T. Schultz, and A. Waibel, Articulatory feature classification using surface electromyography, Proceedings of the 2006 IEEE International Conference on Acoustics , Speech and Signal Processing, p.pp. I?I, 2006.

J. Sun, L. Deng, and X. Jing, Data-driven model construction for continuous speech recognition using overlapping articulatory features, Proceedings of the sixth International Conference on Spoken Language Processing, pp.437-440, 2000.

A. Wrench and K. Richmond, Continuous speech recognition using articulatory data, Proceedings of the sixth International Conference on Spoken Language Processing, pp.145-148, 2000.

R. L. Diehl, A. J. Lotto, and L. L. Holt, Speech Perception, Annual Review of Psychology, vol.55, issue.1, pp.149-179, 2004.
DOI : 10.1146/annurev.psych.55.090902.142028

A. M. Liberman and I. G. Mattingly, The motor theory of speech perception revised, Cognition, vol.21, issue.1, pp.1-36, 1985.
DOI : 10.1016/0010-0277(85)90021-6

C. A. Fowler, An event approach to the study of speech perception from a direct-realist perspective, Journal of Phonetics, vol.14, issue.1, pp.3-28, 1986.

J. Schwartz, A. Basirat, L. Ménard, and M. Sato, The Perception-for-Action-Control Theory (PACT): A perceptuo-motor theory of speech perception, Journal of Neurolinguistics, vol.25, issue.5, pp.336-354, 2012.
DOI : 10.1016/j.jneuroling.2009.12.004
URL : https://hal.archives-ouvertes.fr/hal-00442367

S. Maeda, Compensatory Articulation During Speech: Evidence from the Analysis and Synthesis of Vocal-Tract Shapes Using an Articulatory Model, Speech production and speech modeling, pp.131-149, 1990.
DOI : 10.1007/978-94-009-2037-8_6

S. Maeda and K. Honda, From EMG to Formant Patterns of Vowels: The Implication of Vowel Spaces, Phonetica, vol.51, issue.1-3, pp.17-29, 1994.
DOI : 10.1159/000261955

P. Badin and G. Fant, Notes on Vocal Tract Computation, Quarterly Progress and Status Report, pp.53-108, 1984.

C. Meunier, Phonétique acoustique, pp.164-173, 2007.

S. E. Ohman, Coarticulation in VCV Utterances: Spectrographic Measurements, The Journal of the Acoustical Society of America, vol.39, issue.1, pp.151-168, 1966.
DOI : 10.1121/1.1909864

J. Schwartz, L. Boë, P. Badin, and T. Sawallis, Grounding stop place systems in the perceptuo-motor substance of speech: On the universality of the labial???coronal???velar stop series, Journal of Phonetics, vol.40, issue.1, pp.20-36, 2012.
DOI : 10.1016/j.wocn.2011.10.004
URL : https://hal.archives-ouvertes.fr/hal-00640400

H. M. Sussman, D. Fruchter, J. Hilbert, J. Siroshfrier, R. Laurent et al., Linear correlates in the speech signal: the orderly output constraint Adverse conditions improve distinguishability of auditory, motor and percep-tuo-motor theories of speech perception: an exploratory Bayesian modeling study, -8 Special Issue: Speech Recognition in Adverse Conditions, pp.241-259, 1998.

P. Bessì-ere, C. Laugier, R. Siegwart, and E. , Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, ser. Springer Tracts in Advanced Robotics, 2008.

F. Colas, J. Diard, and P. Bessì-ere, Common Bayesian Models for Common Cognitive Issues, Acta Biotheoretica, vol.86, issue.3, pp.191-216, 2010.
DOI : 10.1007/s10441-010-9101-1
URL : https://hal.archives-ouvertes.fr/hal-00530356

O. Lebeltel, P. Bessì-ere, J. Diard, and E. Mazer, Bayesian Robot Programming, Autonomous Robots, vol.16, issue.1, pp.49-79, 2004.
DOI : 10.1023/B:AURO.0000008671.38949.43
URL : https://hal.archives-ouvertes.fr/inria-00189723

C. Moulin-frier, J. Schwartz, J. Diard, and P. Bessì-ere, A unified theoretical bayesian model of speech communication, Advances in Applied Digital Human Modeling, ser. Advances in Human Factors and Ergonomics Series, pp.457-466, 2010.
URL : https://hal.archives-ouvertes.fr/hal-01059208

E. Gilet, J. Diard, and P. Bessì-ere, Bayesian Action???Perception Computational Model: Interaction of Production and Recognition of Cursive Letters, PLoS ONE, vol.34, issue.7, p.20387, 2011.
DOI : 10.1371/journal.pone.0020387.s001
URL : https://hal.archives-ouvertes.fr/hal-00645868

L. Ménard, J. Schwartz, L. Boë, S. Kandel, and N. Vallée, Auditory normalization of French vowels synthesized by an articulatory model simulating growth from birth to adulthood, The Journal of the Acoustical Society of America, vol.111, issue.4, p.1892, 2002.
DOI : 10.1121/1.1459467

M. R. Schroeder, B. Atal, and J. Hall, Objective measure of certain speech signal degradations based on masking properties of human auditory perception Frontiers of speech communication research, pp.217-229, 1979.

R. K. Moore, PRESENCE: A Human-Inspired Architecture for Speech-Based Human-Machine Interaction, IEEE Transactions on Computers, vol.56, issue.9, pp.1176-1188, 2007.
DOI : 10.1109/TC.2007.1080

B. J. Kröger, J. Kannampuzha, and C. Neuschaefer-rube, Towards a neurocomputational model of speech production and perception, Speech Communication, vol.51, issue.9, pp.793-809, 2009.
DOI : 10.1016/j.specom.2008.08.002

L. Boë and S. Maeda, Modélisation de la croissance du conduit vocal Espace vocalique des nouveaux-nés et des adultes Conséquences pour l'ontogenèse et la phylogenèse, Journées d' ´ Etudes Linguistiques, pp.98-105, 1998.

D. E. Callan, R. D. Kent, F. H. Guenther, and H. K. Vorperian, An Auditory-Feedback-Based Neural Network Model of Speech Production That Is Robust to Developmental Changes in the Size and Shape of the Articulatory System, Journal of Speech Language and Hearing Research, vol.43, issue.3, p.721, 2000.
DOI : 10.1044/jslhr.4303.721