Publications

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. & Dupoux, E. (2013). A corpus-based evaluation method for Distributional Semantic Models. In Proceedings of {ACL-SRW 2013, 165-171.

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.

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.

Grèzes, J. & Dezecache, G. (2012). Communication émotionnelle: mécanismes cognitifs et cérébraux. In P. Allain, G. Aubin & D. Le Gal (Eds.), Cognition Sociale et NeuropsychologieSolal

Grèzes, J. & Dezecache, G. (2014). Bases cérébrales et cognitives de la communication émotionnelle. In M. Botbol (Eds.), L'empathie au carrefour des sciences et de la cliniqueJohn Libbey Eurotext

Grèzes, J., Dezecache, G. & Eskenazi, T. (2015). Limbic to Motor Interactions during Social Perception. In Arthur W. Toga (Eds.), Brain Mapping: An Encyclopedic Reference (pp. 1027-1030).Academic Press: Elsevier

Guevara Rukoz, A., Parlato-Oliveira, E., Yu, S., Hirose, Y., Peperkamp, S. & Dupoux, E. (2017). Predicting epenthetic vowel quality from acoustics. In INTERSPEECH-2017, 596-600.

Hafri, A. , Trueswell, J. & Strickland, B. (2016). Extraction of events roles is from visual scenes is rapid, automatic, and interacts with-higher-level visual processing. In Proceedings of the 39th Annual Conference of the Cognitive Science Society, Philadelphia, PA.

Hermansky, H., Burget, L., Cohen, J., Dupoux, E., Feldman, N., Godfrey, J., Khudanpur, S., Maciejewski, M., Mallidi, S. , Menon, A., Ogawa, T., Peddinti, V., Rose, R., Stern, R., Wiesner, M. & Vesely, K. (2015). Towards machines that know when they do not know: Summary of work done at 2014 Frederick Jelinek memorial workshop in Prague. In ICASSP-2015 (IEEE International Conference on Acoustics Speech and Signal Processing), 5009-5013.

Holzenberger, N., Du, M., Karadayi, J., Riad, R. & Dupoux, E. (2018). Learning Word Embeddings: Unsupervised Methods for Fixed-size Representations of Variable-length Speech Segments. In Interspeech 2018. doi:10.21437/Interspeech.2018-2364

Jansen, A., Dupoux, E., Goldwater, S., Johnson, M., Khudanpur, S., Church, K., Feldman, N., Hermansky, H., Metze, F., Rose, R., Seltzer, M., Clark, P., McGraw}, I., Varadarajan, B., Bennett, E., Börschinger, B., Chiu, J., Dunbar, E., Fourtassi, A., Harwath, D., Lee, C., Levin, K., Norouzian, A., Peddinti, V., Richardson, R., Schatz, T. & Thomas, S. (2013). A summary of the 2012 {JH} {CLSP} Workshop on zero resource speech technologies and models of early language acquisition. In ICASSP-2013 (IEEE International Conference on Acoustics Speech and Signal Processing), 8111-8115. doi:10.1109/icassp.2013.6639245

Johnson, M., Pater, J., Staub, R. & Dupoux, E. (2015). Sign constraints on feature weights improve a joint model of word segmentation and phonology. In NAACL HLT 2015, 303-313. doi:10.3115/v1/N15-1034

Johnson, M., Christophe, A. & Dupoux, E. (2014 ). Modelling function words improves unsupervised word segmentation. In Proceedings of the 52nd Annual meeting of the ACL, 282–292. doi:10.3115/v1/P14-1027

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.

Koralus, P. & Mascarenhas, S. (2018). Illusory Inferences in a question-based theory of reasoning. In Turner, Ken and Horn, Laurence (Eds.), Pragmatics, Truth, and Underspecification: Towards an Atlas of Meaning (pp. 300–322). Leiden: Brill

Kouider, S. (2018). Devenir scientifique pour comprendre qui nous sommes. In Michel Dugnat (Eds.), Bébé attentif cherche adulte(s) attentionné(s) (pp. 45-48). Toulouse, France: ERES

Kuhn, J. (2021). Discourse anaphora – theoretical and experimental perspectives. In Quer, Pfau, and Herrmann (Eds.), The Routledge Handbook of Theoretical and Experimental Sign Language Research (pp. 458-479).Routledge

Lample , G., Zeghidour, N., Usunier, N., Bordes, A. , Denoyer, L. & Ranzato, M. (2017). Fader Networks: Manipulating Images by Sliding Attributes. In NIPS.

Larsen, E., Dupoux, E. & Cristia, A. (2017). Relating unsupervised word segmentation to reported vocabulary acquisition. In INTERSPEECH-2017, 2198-2202. doi:10.21437/Interspeech.2017-937

Le Godais, G., Linzen, T. & Dupoux, E. (2017). Comparing character-level neural language models using a lexical decision task. In Proceedings of the Conference of the European Chapter of the Association for Computational Linguistics..

Linzen, T., Dupoux, E. & Spector, B. (2016). Quantificational features in distributional word representations. In Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics, pages 1 – 1-11. doi:10.18653/v1/S16-2001

Ludusan, B. & Dupoux, E. (2016). Automatic syllable segmentation using broad phonetic class information. , Vol. 81: In SLTU-2016 Procedia Computer Science, 101-106.

Ludusan, B., Seidl, A., Dupoux, E. & Cristia, A. (2015). Motif discovery in infant- and adult-directed speech. In Proceedings of CogACLL2015, 93-102. doi:10.18653/v1/W15-2413

Ludusan, B. & Dupoux, E. (2015). A multilingual study on intensity as a cue for marking prosodic boundaries. In ICPhS, e982.

Ludusan, B. & Dupoux, E. (2014). Towards Low Resource Prosodic Boundary Detection. In Proceedings of International Workshop on Spoken Language Technologies for Under-resourced Languages (SLTU'14), 231-237.

Ludusan, B., Gravier, G. & Dupoux, E. (2014). Incorporating Prosodic Boundaries in Unsupervised Term Discovery. , Vol. 7: In Proceedings of Speech Prosody, 939-943.

Ludusan, B., Synnaeve, G. & Dupoux, E. (2015). Prosodic boundary information helps unsupervised word segmentation. In NAACL HLT 2015, 953-963. doi:10.3115/v1/N15-1096

Ludusan, B., Mazuka, R., Bernard, M., Cristia, A. & Dupoux, E. (2017). The Role of Prosody and Speech Register in Word Segmentation: A Computational Modelling Perspective. , Vol. 2: In ACL 2017, 178-183. doi:10.18653/v1/P17-2028

Ludusan, B., Caranica, A., Cucu, H., Buzo, A., Burileanu, C. & Dupoux, E. (2015 ). Exploring multi-language resources for unsupervised spoken term discovery. In Speech Technology and Human-Computer Dialogue (SpeD), 2015 International Conference on, 1-6.