Publications

Schatz, T., Feldman, N., Goldwater, S., Cao, X. & Dupoux, E. (2021). Early phonetic learning without phonetic categories: Insights from large-scale simulations on realistic input. In National Academy of Sciences (Eds.), Vol. 118: In Proceedings of the National Academy of Sciences, 7. doi:10.31234/osf.io/fc4wh

Rivière, M. & Dupoux, E. (2021). Towards unsupervised learning of speech features in the wild. In 2021 IEEE Spoken Language Technology Workshop (SLT), 156-163.

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

Kharitonov, E., Rivière, M., Synnaeve, G., Wolf, L., Mazaré, P., Douze, M. & Dupoux, E. (2021). Data Augmenting Contrastive Learning of Speech Representations in the Time Domain. In IEEE (Eds.), In 2021 IEEE Spoken Language Technology Workshop (SLT, 215-222.

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

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