Publications
Are word boundaries useful for unsupervised language learning? In arXiv preprint arXiv:2210.02956., 2022.
"The zero resource speech challenge 2021: Spoken language modelling." arXiv preprint arXiv:2104.14700 (2021).
"The Zero Resource Speech Benchmark 2021: Metrics and baselines for unsupervised spoken language modeling." arXiv preprint arXiv:2011.11588 (2020).
"Mouse tracking as a window into decision making." Behavior Research Methods 51 (2019): 1085-1101.
"Generative grammar, neural networks, and the implementational mapping problem: Response to Pater." Language 95 (2019): e87-e98.
The Zero Resource Speech Challenge 2019: TTS without T In Interspeech 2019 - 20th Annual Conference of the International Speech Communication Association. Graz, Austria, 2019.
Toward a realistic model of speech processing in the brain with self-supervised learning In NeurIPS 2022 - Thirty-sixth Conference on Neural Information Processing Systems. New Orleans, United States, 2022.
RNNs Implicitly Implement Tensor Product Representations In ICLR 2019 - International Conference on Learning Representations. New Orleans, United States, 2019.
Do self-supervised speech models develop human-like perception biases? In ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Dublin, Ireland: Association for Computational Linguistics, 2022.
Comparing unsupervised speech learning directly to human performance in speech perception In CogSci 2019 - 41st Annual Meeting of Cognitive Science Society. Montréal, Canada, 2019.
LabEx EFL
University Paris Cité
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