Publications

Schatz, T., Turnbull, R., Bach, F. & Dupoux, E. (2017). A Quantitative Measure of the Impact of Coarticulation on Phone Discriminability. In INTERSPEECH-2017.

Tsuji, S., Bergmann, C. & Cristia, A. (2017). MetaLab: A repository for meta-analyses on language development, and more. . In Proceedings of Interspeech Show & Tell.

Tsuji, S. & Cristia, A. (2017). Which acoustic and phonological factors shape infants' vowel discrimination? Exploiting natural variation in InPhonDB. . In Proceedings of Interspeech. doi:10.21437/Interspeech.2017-1468

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

Warlaumont, A., Vandam, M., Bergelson, E. & Cristia, A. (2017). HomeBank: A repository for long-form real-world audio recordings of children. In Proceedings of Interspeech Show & Tell.

Bergmann, C., Cristia, A. & Dupoux, E. (2016 ). Discriminability of sound contrasts in the face of speaker variation quantified. In Proceedings of the 38th Annual Conference of the Cognitive Science Society, 1331-1336.

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

Carbajal, J., Fér, R. & Dupoux, E. (2016). Modeling language discrimination in infants using i-vector representations. In 38th Annual Conference of the Cognitive Science Society (CogSci2016), Philadelphia, USA.

Dautriche, I., Van Heugten, M. & Cristia, A. (2016). La reconnaissance des mots dans la parole accentuée : Une étude en laboratoire et à l'extérieur. . In JEP/TALN/RECITAL, 607-614.

Fibla, L. & Cristia, A. (2016). Word comprehension and multilingualism among toddlers: A study using touch screens in daycares. In NLP4LA Workshop Proceedings.

Fourtassi, A. & Dupoux, E. (2016). The role of word-word co-occurrence in word learning. In Proceedings of the 38th Annual Conference of the Cognitive Science Society, 662-667.

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.

Ogawa, T., Mallidi, S. , Dupoux, E., Cohen, J., Feldman, N. & Hermansky, H. (2016). A new efficient measure for accuracy prediction and its application to multistream-based unsupervised adaptation. In ICPR.

Synnaeve, G. & Dupoux, E. (2016). A temporal coherence loss function for learning unsupervised acoustic embeddings. , Vol. 81: In SLTU-2016 Procedia Computer Science, 95-100.

Versteegh, M., Anguera, X., Jansen, A. & Dupoux, E. (2016). The Zero Resource Speech Challenge 2015: Proposed Approaches and Results. , Vol. 81: In SLTU-2016 Procedia Computer Science, 67-72.

Zeghidour, N., Synnaeve, G., Usunier, N. & Dupoux, E. (2016). Joint Learning of Speaker and Phonetic Similarities with Siamese Networks. In INTERSPEECH-2016, 1295-1299.

Zeghidour, N., Synnaeve, G., Versteegh, M. & Dupoux, E. (2016 ). A Deep Scattering Spectrum - Deep Siamese Network Pipeline For Unsupervised Acoustic Modeling. In ICASSP-2016, 4965-4969.

Dunbar, E., Synnaeve, G. & Dupoux, E. (2015). Quantitative methods for comparing featural representations. In ICPhS, paper number 1024.

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.

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

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.

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., 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.

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

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

Michon, E., Dupoux, E. & Cristia, A. (2015). Salient dimensions in implicit phonotactic learning. In INTERSPEECH-2015, 2665-2669.

Thiollière, R., Dunbar, E., Synnaeve, G., Versteegh, M. & Dupoux, E. (2015 ). A Hybrid Dynamic Time Warping-Deep Neural Network Architecture for Unsupervised Acoustic Modeling. In INTERSPEECH-2015, 3179-3183.

Versteegh, M., Thiollière, R., Schatz, T., Cao, X., Anguera, X., Jansen, A. & Dupoux, E. (2015). The Zero Resource Speech Challenge 2015. In INTERSPEECH-2015, 3169-3173.

Zuraw, K. & Peperkamp, S. (2015). Aspiration and the gradient structure of English prefixed words. In The Scottish Consortium for ICPhS 2015 (Eds.), In Proceedings of the 18th International Congress of Phonetic Sciences, Glasgow, UK: The University of Glasgow.