Julien Diard
According to our database1,
Julien Diard
authored at least 30 papers
between 2003 and 2022.
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Bibliography
2022
Isochronous is beautiful? Syllabic event detection in a neuro-inspired oscillatory model is facilitated by isochrony in speech.
Proceedings of the Interspeech 2022, 2022
Repeat after Me: Self-Supervised Learning of Acoustic-to-Articulatory Mapping by Vocal Imitation.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Found. Trends Mach. Learn., 2021
2020
Simulating length and frequency effects across multiple tasks with the Bayesian model BRAID-Phon.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020
2018
What drives the perceptual change resulting from speech motor adaptation? Evaluation of hypotheses in a Bayesian modeling framework.
PLoS Comput. Biol., 2018
Proceedings of the Interspeech 2018, 2018
Reconciling opposite neighborhood frequency effects in lexical decision: Evidence from a novel probabilistic model of visual word recognition.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018
2017
NeuroImage, 2017
2016
Modélisation bayésienne de la planification motrice des gestes de parole: Évaluation du rôle des différentes modalités sensorielles (Bayesian modeling of speech gesture motor planning: Evaluating the role of different sensory modalities ).
Proceedings of the Actes de la conférence conjointe JEP-TALN-RECITAL 2016. Volume 1 : JEP, 2016
Bayesian Modeling in Speech Motor Control: A Principled Structure for the Integration of Various Constraints.
Proceedings of the Interspeech 2016, 2016
Proceedings of the Interspeech 2016, 2016
Proceedings of the 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016
2015
COSMO ("Communicating about Objects using Sensory-Motor Operations"): A Bayesian modeling framework for studying speech communication and the emergence of phonological systems.
J. Phonetics, 2015
Optimal speech motor control and token-to-token variability: a Bayesian modeling approach.
Biol. Cybern., 2015
COSMO, a Bayesian computational model of speech communication: Assessing the role of sensory vs. motor knowledge in speech perception.
Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015
2014
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014
2013
Spatial Memory of Paths Using Circular Probability Distributions: Theoretical Properties, Navigation Strategies and Orientation Cue Combination.
Spatial Cogn. Comput., 2013
A computational model of perceptuo-motor processing in speech perception: learning to imitate and categorize synthetic CV syllables.
Proceedings of the INTERSPEECH 2013, 2013
2012
COSMO, un modèle bayésien de la communication parlée : application à la perception des syllabes (COSMO, a Bayesian model of speech communication, applied to syllable perception) [in French].
Proceedings of the Joint Conference JEP-TALN-RECITAL 2012, 2012
2010
Incremental learning of Bayesian sensorimotor models: from low-level behaviours to large-scale structure of the environment.
Connect. Sci., 2010
2008
Proceedings of the Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, 2008
Proceedings of the IEEE International Conference on Systems, 2008
2005
Learning Bayesian models of sensorimotor interaction: from random exploration toward the discovery of new behaviors.
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005
Merging probabilistic models of navigation: the Bayesian map and the superposition operator.
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005
2004
Hierarchies of Probabilistic Models of Navigation: the Bayesian Map and the Abstraction Operator.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004
A Theoretical Comparison of Probabilistic and Biomimetic Models of Mobile Robot Navigation.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004
2003
La carte bayésienne : un modèle probabiliste hiérarchique pour la navigation en robotique mobile. (The Bayesian map - A hierarchical probabilistic model for mobile robot navigation).
PhD thesis, 2003
Proceedings of the Ad-Hoc, Mobile, and Wireless Networks, Second International Conference, 2003