Publications

Minagawa-Kawai, Y., Mori, K., Hebden, J. & Dupoux, E. (2008). Optical Imaging of infants' neurocognitive development: Recent advances and perspectives. Developmental Neurobiology, 68(6), 712-728. doi:10.1002/dneu.20618

Minagawa-Kawai, Y., Cristia, A., Long, B., Vendelin, I., Hakuno, Y., Dutat, M., Filippin, L., Cabrol, D. & Dupoux, E. (2013). Insights on NIRS sensitivity from a cross-linguistic study on the emergence of phonological grammar. Frontiers in Language Sciences, 4, 170. doi:10.3389/fpsyg.2013.00170

Minagawa-Kawai, Y., Cristia, A., Vendelin, I., Cabrol, D. & Dupoux, E. (2011). Assessing signal-driven mechanisms in neonates: Brain responses to temporally and spectrally different sounds. Frontiers in Language Sciences, 2, 135. doi:10.3389/fpsyg.2011.00135

Minagawa-Kawai, Y., Cristia, A. & Dupoux, E. (2011). Cerebral lateralization and early speech acquisition: A developmental scenario. Developmental Cognitive Neuroscience, 1(3), 217-232. doi:10.1016/j.dcn.2011.03.005

Michon, E., Dupoux, E. & Cristia, A. (2015). Salient dimensions in implicit phonotactic learning. In INTERSPEECH-2015, 2665-2669.

Michel, M. , Beck, D. , .., .., King, J. , Kouider, S., Tallon-Baudry, C. & Yoshida , M. (2019). Opportunities and challenges for a maturing science of consciousness. Nature Human Behaviour, 3, 104-107. doi:10.1038/s41562-019-0531-8

Räsänen, O., Thiollière, R. & Dupoux, E. (2017). Blind phoneme segmentation with temporal prediction errors. In Proceedings of ACL: Student Research Workshop.

Mehler, J. & Dupoux, E. (1990). Naître Humain. Paris: Odile Jacob. Translated and published in English (Blackwell), Chineese (Yuan-Liou Publishers), Greek (Alexiandria) Italian, (Mondadori), Japanese, (Fujiwara-Shoten), Portuguese (Piaget), & Spanish (Alianza)

Mehler, J., Dupoux, E., Pallier, C. & Dehaene-Lambertz, G. (1994). Cross-linguistic approaches to speech processing. Current Opinion in Neurobiology, 4(2), 171-176

Mehler, J., Bertoncini, J., Dupoux, E. & Pallier, C. (1994). The role of suprasegmental in speech perception and acquisition. Dokkyo International Review, 7, 343-376

Mehler, J., Sebastián-Gallés, N., Altmann, G., Dupoux, E., Christophe, A. & Pallier, C. (1993 ). Understanding compressed sentences - The role of rhythm and meaning. Annals of the New York Academy of Sciences, 682, 272-282

Mazuka, R., Cao, Y., Dupoux, E. & Christophe, A. (2011 ). The development of a phonological illusion: a cross-linguistic study with Japanese and French infants. Developmental science, 14(4), 693-9. doi:10.1111/j.1467-7687.2010.01015.x

Martin, A., Versteegh, M., Miyazawa, K., Mazuka, R., Dupoux, E. & Cristia, A. (2015). Mothers speak less clearly to infants: A comprehensive test of the hyperarticulation hypothesis. Psychological Science, 26(3), 341-347. doi:10.1177/0956797614562453

Martin, A., Peperkamp, S. & Dupoux, E. (2013). Learning phonemes with a proto-lexicon. Cognitive science, 37(1), 103-24. doi:10.1111/j.1551-6709.2012.01267.x

Ludusan, B., Mazuka, R. & Dupoux, E. (2021). Does infant-directed speech help phonetic learning? A machine learning investigation. Cognitive Science, 45(5), e12946. doi:10.1111/cogs.12946

Ludusan, B. & Dupoux, E. (2016). The role of prosodic boundaries in word discovery: Evidence from a computational model. Journal of the Acoustical Society of America, 140(1), EL1

Ludusan, B. & Dupoux, E. (2016). Automatic syllable segmentation using broad phonetic class information. , Vol. 81: In SLTU-2016 Procedia Computer Science, 101-106.

Ludusan, B., Seidl, A., Dupoux, E. & Cristia, A. (2015). Motif discovery in infant- and adult-directed speech. In Proceedings of CogACLL2015, 93-102. doi:10.18653/v1/W15-2413

Ludusan, B. & Dupoux, E. (2015). A multilingual study on intensity as a cue for marking prosodic boundaries. In ICPhS, e982.

Ludusan, B. & Dupoux, E. (2014). Towards Low Resource Prosodic Boundary Detection. In Proceedings of International Workshop on Spoken Language Technologies for Under-resourced Languages (SLTU'14), 231-237.

Ludusan, B., Gravier, G. & Dupoux, E. (2014). Incorporating Prosodic Boundaries in Unsupervised Term Discovery. , Vol. 7: In Proceedings of Speech Prosody, 939-943.

Ludusan, B., Synnaeve, G. & Dupoux, E. (2015). Prosodic boundary information helps unsupervised word segmentation. In NAACL HLT 2015, 953-963. doi:10.3115/v1/N15-1096

Ludusan, B., Mazuka, R., Bernard, M., Cristia, A. & Dupoux, E. (2017). The Role of Prosody and Speech Register in Word Segmentation: A Computational Modelling Perspective. , Vol. 2: In ACL 2017, 178-183. doi:10.18653/v1/P17-2028

Ludusan, B., Cristia, A., Martin, A., Mazuka, R. & Dupoux, E. (2016). Learnability of prosodic boundaries: Is infant-directed speech easier? Journal of the Acoustical Society of America, 140(2), 1239-1250. doi:10.1121/1.4960576

Ludusan, B., Caranica, A., Cucu, H., Buzo, A., Burileanu, C. & Dupoux, E. (2015 ). Exploring multi-language resources for unsupervised spoken term discovery. In Speech Technology and Human-Computer Dialogue (SpeD), 2015 International Conference on, 1-6.

Ludusan, B., Versteegh, M., Jansen, A., Gravier, G., Cao, X., Johnson, M. & Dupoux, E. (2014 ). Bridging the gap between speech technology and natural language processing: an evaluation toolbox for term discovery systems. In Proceedings of LREC 2014, 560-567.

Ludusan, B., Origlia, A. & Dupoux, E. (2015 ). Rhythm-Based Syllabic Stress Learning without Labelled Data. In Proceedings of Statistical Language and Speech Processing -SLSP 2015, 185-196.

Lochy, A., Rossion , B. & de Heering, A. (2019). The non-linear development of the right hemispheric specialization for human face perception. Neuropsychologia., 126, 10-19. doi:10.1016/j.neuropsychologia.2017.06.029.

Linzen, T., Dupoux, E. & Spector, B. (2016). Quantificational features in distributional word representations. In Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics, pages 1 – 1-11. doi:10.18653/v1/S16-2001

Linzen, T., Dupoux, E. & Goldberg, Y. (2016). Assessing the ability of LSTMs to learn syntax-sensitive dependencies. Transactions of the Association for Computational Linguistics, 4, 521-535