Publications

Havron, N., Babineau, M., Fiévet, A., de Carvalho, A. & Christophe, A. (2019). Young Children Build Syntactic Predictions During Language Processing and Use Them to Learn Novel-Word Meanings. In The 44th Annual Boston University Conference on Language Development, Boston, USA.

Futaisi Al, N., Zhang, Z., Cristia, A., Warlaumont, A. & Schuller, B. (2019). VCMNet: Weakly Supervised Learning for Automatic Infant Vocalisation Maturity Analysis. In 2019 International Conference on Multimodal Interaction, 205-209.

Osses , A. & Varnet, L. (2023). Using auditory models to mimic human listeners in reverse correlation experiments from the fastACI toolbox. In , Turin, Italy.

Ramus, F. & Szenkovits, G. (2011). Understanding the nature of the phonological deficit. (pp. 153-169). doi:10.4324/9780203838006

Remme, M., Lengyel, M. & Gutkin, B. (2015). Trade-off between dendritic democracy and independence in neurons with intrinsic subthreshold membrane potential oscillatio. In Remme et al (eds) (Eds.), Dendritic ComputationSpringer

Semenzin, C. , Hamrick, L., Seidl, A., Kelleher, B. & Cristia, A. (2021). Towards Large-Scale Data Annotation of Audio from Wearables: Validating Zooniverse Annotations of Infant Vocalization Types. In 2021 IEEE Spoken Language Technology Workshop (SLT), Shenzhen, China: IEEE, 1079-1085. doi:10.1109/SLT48900.2021.9383511

Seidl, A., Warlaumont, A. & Cristia, A. (2019). Towards detection of canonical babbling by citizen scientists: Performance as a function of clip length. In Proceedings of Interspeech, Graz, Austria.

Millet, J., Caucheteux, C. , Boubenec, Y., Gramfort, A., Dunbar, E., Pallier, C. & King, J. (2022). Toward a realistic model of speech processing in the brain with self-supervised learning. , Vol. 35: In 36th Conference on Neural Information Processing Systems, 33428-33443.

Gutkin, B. (2015). Theta-neurons. In Springer Verlag (Eds.), Encyclopedia of Comptutational Neuroscience (pp. 1034-1042).

Semenzin, C. , Hamrick, L., Seidl, A., Kelleher, B. & Cristia, A. (2021). Theory evaluation in the age of cumulative science. In 2021 IEEE Spoken Language Technology Workshop (SLT), Shenzhen, China, 1079-1085. doi:10.1109/SLT48900.2021.9383511

Peperkamp, S., Skoruppa, K. & Dupoux, E. (2006). The role of phonetic naturalness in phonological rule acquisition. In Proceedings of the 30th Annual Boston University Conference on Language Development, 464-475.

Schuller, B., Batliner, A., Bergler, C., Pokorny, F., Krajewski, J., Cychosz, M., Vollmann, R., Roelen, S., Schnieder, S., Bergelson, E. & Cristia, A. (2019). The INTERSPEECH 2019 Computational Paralinguistics Challenge: Styrian Dialects, Continuous Sleepiness, Baby Sounds & Orca Activity. In Proceedings of Interspeech, Graz, Austria.

Shamma, S. (2020). Temporal Coherence Principle in Scene Analysis. The Senses: A Comprehensive Reference (Second Edition) (Vol. 2, pp. 777-790).Elsevier. doi:10.1016/B978-0-12-809324-5.24252-1

Zuberbühler, K., Chemla, E. & Schlenker, P. (2021). Stereotyped vocalizations. Encyclopedia of Evolutionary Psychological Science (pp. 7970-7974).Springer. doi:10.1007/978-3-319-16999-6_3330-1

Martin, A. & Peperkamp, S. (2011). Speech perception and phonology. In M. van Oostendorp, C. Ewen, E. Hume & K. Rice (Eds.), Companion to Phonology. Volume IV. (pp. 2234-2256). Hoboken, N.J.: Wiley-Blackwell

Guevara-Rukoz, A. , Yu, S. & Peperkamp, S. (2021). Speech perception and loanword adaptations: the case of copy-vowel epenthesis. In Proceedings of INTERSPEECH, Brno, Czech Republic.

Thoret, E., Andrillon, T., Gauriau, C., Léger, D. & Pressnitzer, D. (2020). Sleep deprivation impacts speech spectro-temporal modulations. In e-FA2020 (e- Forum Acusticum 2020 ), Lyon, France.

Schlenker, P., Chemla, E. & Zuberbühler, K. (2017). Semantics and Pragmatics of Monkey Communication. In Mark Aronoff (Eds.), Oxford Research Encyclopedia of LinguisticsNew York: Oxford University Press. doi:10.1093/acrefore/9780199384655.013.220

Ryant, N., Church, K., Cieri, C., Cristia, A., Ganapathy, S. & Liberman, M. (2019). Second DIHARD Diarization Challenge: Dataset, task, and baselines. In Proceedings of Interspeech, Graz, Austria.

Zakharov, D., Dogonasheva, O. & Gutkin, B. (2020). Role of Pyramidal Cell M-current in Weak Pyramidal/Interneuronal Gamma Cluster Formation. In 2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia, IEEE. doi:10.1109/DCNAIR50402.2020.9216942

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

Erdmann, A. , Joseph Wrisley, D., Allen, B. , Brown, C. , Cohen-Bodenes, S., Elsner, M. , Feng, Y. , D Joseph, B. , Joyeux-Prunel, B. & de Marneffe, M. (2019). Practical, Efficient, and Customizable Active Learning for Named Entity Recognition in the Digital Humanities. In Proceedings of the 2019 Conference of the North, 2223-2234. doi:10.18653/v1/N19-1231

Remme, M., Lengyel, M. & Gutkin, B. (2014). Phase Response Methods in Dendritic Dynamics. In Schultheiss et al (eds) (Eds.), Phase Response Cruves in NeuroscienceSpringer

Zuk, N. , Di Liberto, G. & Lalor, E. (2019). Linear-nonlinear Bernoulli modeling for quantifying temporal coding of phonemes in brain responses to continuous speech. In 2019 Conference on Cognitive Computational Neuroscience, Berlin, Germany.

Kahn, J., Rivière, M., Zheng, W., Kharitonov, E., Xu, Q., Mazaré, P., Karadayi, J., Lipchinsky , V., Collobert, R., Fuegen, C., Likhomanenko, T., Synnaeve, G., Joulin, A., Mohamed, A. & Dupoux, E. (2020). Libri-Light: A Benchmark for ASR with Limited or No Supervision. In Acoustics Speech and Signal Processing (ICASSP) ICASSP 2020 - 2020 IEEE International Conference, 2020 IEEE International Conference , 7414-7418. doi:10.1109/ICASSP40776.2020.9052942

Peperkamp, S., Antoine, V. & Turnbull, R. (2022). Les Liaisons Dangereuses: Quantifying French liaison-induced homophony. In J. Culbertson, A. Perfors, H. Rabagliati & V. Ramenzoni (Eds.), In Proceedings of the 44th Annual Conference of the Cognitive Science Society, 2409-2414.

Peperkamp, S. & Dupoux, E. (2007 ). Learning the mapping from surface to underlying representations in an artificial language. In Cole, J. and Hualde, J. (Eds.), Laboratory Phonology 9 (pp. 315-338). Berlin: Mouton de Gruyter

Lussange, J., Belianin, A., Bourgeois-Gironde, S. & Gutkin, B. (2021). Learning and Cognition in Financial Markets: A Paradigm Shift for Agent-Based Models. Advances in Intelligent Systems and Computing (Vol. 1252, pp. 241-255). doi:10.1007/978-3-030-55190-2_19

Peperkamp, S. & Brazeal, J. (2023). Lasting stress ‘deafness’ after auditory training: French listeners revisited. In Proceedings of ICPhS, Prague.

Loukatou, G., Moran, S., Blasi, D., Stoll, S. & Cristia, A. (2019). Is word segmentation child’s play in all languages? In Proceedings of the Association for Computational Linguistics.