Publications

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.

Turnbull, R. & Peperkamp, S. (2017). What governs a language's lexicon? Determining the organizing principles of phonological neighbourhood networks. In Complex Networks & Their Applications V. Proceedings of the 5th International Workshop on Complex Networks and their Applications, 83-94. doi:10.1007/978-3-319-50901-3_7

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.

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

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.

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.

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

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