Publications

Rita, M., Strub, F. , Pietquin, O. & Dupoux, E. (2022). Population size and agent heterogeneity in simulated language emergence. In Proc. of ICLR .

de Seyssel, M., Wisniewski, G., Dupoux, E. & Ludusan, B. (2022). Investigating the usefulness of i-vectors for automatic language characterization. In Speech Prosody 2022, Lisbon, Portugal. doi:10.21437/SpeechProsody.2022-94

Riochet, R., Castro, M. , Bernard, M., Lerer, A., Fergus, R., Izard, V. & Dupoux, E. (2021). Intphys 2019: A benchmark for visual intuitive physics understanding. In IEEE Transactions on Pattern Analysis and Machine Intelligence. doi:10.1109/TPAMI.2021.3083839

Dunbar, E., Bernard, M., Hamilakis, N., Nguyen, T. , de Seyssel, M., Rozé, P., Rivière, M., Kharitonov, E. & Dupoux, E. (2021). The Zero Resource Speech Challenge 2021: Spoken language modelling. In Conference of the International Speech Communication Association, Brno, Czech Republic. doi:10.1109/TPAMI.2021.3083839

Kandemir, E. , Vie, J., Sanchez-Ayte, A., Palombi, O. & Ramus, F. (2024). Adaptation of the Multi-Concept Multivariate Elo Rating System to Medical Students Training Data. In Proceedings of the 14th Learning Analytics and Knowledge Conference, Kyoto, 123–133. doi:10.1145/3636555.3636858

Bergmann, C., Cristia, A. & Dupoux, E. (2016 ). Discriminability of sound contrasts in the face of speaker variation quantified. In Proceedings of the 38th Annual Conference of the Cognitive Science Society, 1331-1336.

Boruta, L., Peperkamp, S., Crabbe, B. & Dupoux, E. (2011 ). Testing the robustness of online word segmentation: effects of linguistic diversity and phonetic variation. In Proceedings of the 2011 Workshop on Cognitive Modeling and Computational Linguistics, ACL, Portland, Oregon, 1-9.

Cao, X., Dakhlia, C., Del Carmen, P., Jaouani, M., Ould-Arbi, M. & Dupoux, E. (2018). Baby Cloud, a technological platform for parents and researchers. In LREC 2018 - 11th edition of the Language Resources and Evaluation Conference.

Carbajal, J., Dawud, A., Thiollière, R. & Dupoux, E. (2016 ). The “language filter” hypothesis: A feasibility study of language separation in infancy using unsupervised clustering of I-vectors. In 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), Cergy-Pontoise, France, 195-201. doi:10.1109/DEVLRN.2016.7846818

Carbajal, J., Fér, R. & Dupoux, E. (2016). Modeling language discrimination in infants using i-vector representations. In 38th Annual Conference of the Cognitive Science Society (CogSci2016), Philadelphia, USA.

Chaabouni, R., Kharitonov, E., Dupoux, E. & Baroni, M. (2019). Anti-efficient encoding in emergent communication. In NeuRIPS.

Chaabouni, R., Kharitonov, E., Lazaric, A., Dupoux, E. & Baroni, M. (2019). Word-order biases in deep-agent emergent communication. In ACL 2019.

Chaabouni, R., Dunbar, E., Zeghidour, N. & Dupoux, E. (2017). Learning weakly supervised multimodal phoneme embeddings. In INTERSPEECH-2017, 2218-2222. doi:10.21437/Interspeech.2017-1689

Cremers, A. & Chemla, E. (2017). Probability Judgments of Gappy Sentences. In Pistoia-Reda, Salvatore and Filippo Domaneschi (Eds.), Linguistic and Psycholinguistic Approaches on Implicatures and Presuppositions (pp. 111-150).Palgrave

Darcy, I., Peperkamp, S. & Dupoux, E. (2007 ). Bilinguals play by the rules. Perceptual compensation for assimilation in late L2-learners. In Cole, J. and Hualde, J. (Eds.), Laboratory Phonology 9 (pp. 411-442). Berlin: Mouton de Gruyter

de Seyssel, M. & Dupoux, E. (2020). Does bilingual input hurt? A simulation of language discrimination and clustering using i-vectors. In CogSci 2020-42nd Annual Virtual Meeting of the Cognitive Science Society.

Défossez, A., Zeghidour, N., Usunier, N., Bottou, L. & Bach, F. (2018). SING: Symbol-to-Instrument Neural Generator. In Conference on Neural Information Processing Systems (NIPS), Dec 2018, Montréal, Canada.

Dunbar, E., Algayres, R., Karadayi, J., Bernard, M., Benjumea, J., Cao, X., Miskic, L., Dugrain, C., Ondel, L., Black, A., Besacier, L., Sakti, S. & Dupoux, E. (2019). The Zero Resource Speech Challenge 2019: TTS without T. In INTERSPEECH-2019.

Dunbar, E., Xuan-Nga, C., Benjumea, J., Karadayi, J., Bernard, M., Besacier, L., Anguera, X. & Dupoux, E. (2017). The Zero Resource Speech Challenge 2017. In ASRU-2017.

Dunbar, E., Synnaeve, G. & Dupoux, E. (2015). Quantitative methods for comparing featural representations. In ICPhS, paper number 1024.

Dupoux, E., Beraud-Sudreau, G. & Sagayama, S. (2011 ). Templatic features for modeling phoneme acquisition. In Proceedings of the 33rd Annual Conference of the Cognitive Science Society, Boston, Mass..

Dupoux, E. & Peperkamp, S. (2002). Fossil markers of language development: phonological 'deafnesses' in adult speech processing. In J. Durand & B. Laks (Eds.), Phonetics, Phonology, and Cognition (pp. 168-190). Oxford: OUP

Er Jiang, B., Dunbar, E., Sonderegger, M., Clayards, M. & Dupoux, E. (2020). Modelling Perceptual Effects of Phonology with ASR Systems. In CogSci 2020-42nd Annual Virtual Meeting of the Cognitive Science Society.

Fort, M., Weiss, A., Martin, A. & Peperkamp, S. (2013). Looking for the bouba-kiki effect in prelexical infants. In S. Ouni, F. Berthommier & A. Jesse (Eds.), In Proceedings of the 12th International Conference on Auditory-Visual Speech Processing, INRIA, 71-76.

Fourtassi, A. & Dupoux, E. (2019). Phoneme learning is influenced by the taxonomic organization of the semantic referents. In Cognitive Science Society (Eds.), In Proceedings of the Cognitive Science Conference, 323-324.

Fourtassi, A. & Dupoux, E. (2016). The role of word-word co-occurrence in word learning. In Proceedings of the 38th Annual Conference of the Cognitive Science Society, 662-667.

Fourtassi, A. & Dupoux, E. (2014). A Rudimentary Lexicon and Semantics Help Bootstrap Phoneme Acquisition. In Proceedings of the 18th Conference on Computational Natural Language Learning (CoNLL), Association for Computational Linguistics, 191-200. doi:10.3115/v1/W14-1620

Fourtassi, A., Schatz, T., Varadarajan, B. & Dupoux, E. (2014). Exploring the Relative Role of Bottom-up and Top-down Information in Phoneme Learning. , Vol. 2: In Proceedings of the 52nd Annual meeting of the ACL, Association for Computational Linguistics, 1-6. doi:10.3115/v1/P14-2001

Fourtassi, A., Dunbar, E. & Dupoux, E. (2014 ). Self Consistency as an Inductive Bias in Early Language Acquisition. In Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 469-474.

Fourtassi, A., Boerschinger, B., Johnson, M. & Dupoux, E. (2013). WhyisEnglishsoeasytosegment. In Proceedings of the 4th Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2013), 1-10.