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Bibliography

Major publications by the team in recent years
  • 1C. Bergmann, A. Cristia, E. Dupoux.

    Discriminability of sound contrasts in the face of speaker variation quantified, in: Proceedings of the 38th Annual Conference of the Cognitive Science Society, 2016, pp. 1331-1336.
  • 2M. Buon, E. Dupoux, P. Jacob, P. Chaste, M. Leboyer, T. Zalla.

    The role of causal and intentional reasoning in moral judgment in individuals with High Functioning Autism, in: Journal of Autism and Developmental Disorders, 2013, vol. 43, no 2, pp. 458-70. [ DOI : 10.1016/j.cognition.2012.09.006 ]
  • 3M. Buon, P. Jacob, E. Loissel, E. Dupoux.

    A non-mentalistic cause-based heuristic in human social evaluations, in: Cognition, 2013, vol. 126, no 2, pp. 149-155.
  • 4M. Buon, P. Jacob, S. Margules, I. Brunet, M. Dutat, D. Cabrol, E. Dupoux.

    Friend or foe? Early social evaluation of human interactions, in: PloS One, 2014, vol. 9, no 2, e88612.
  • 5J. Carbajal, A. Dawud, R. Thiollière, E. Dupoux.

    The 'Language Filter' Hypothesis: Modeling Language Separation in Infants using I-vectors, in: EPIROB 2016, 2016, pp. 195-201.
  • 6J. Carbajal, R. Fér, E. Dupoux.

    Modeling language discrimination in infants using i-vector representations, in: Proceedings of the 38th Annual Conference of the Cognitive Science Society, 2016, pp. 889-896.
  • 7L. Cleret de Langavant, C. Jacquemot, A.-C. Bachoud-Lévi, E. Dupoux.

    The second person in `I'-`you'-`it' triadic interactions, in: Behavioral and Brain Sciences, 2013, vol. 36, no 416-417.
  • 8A. Cristia, E. Dupoux, Y. Hakuna, S. Lloyd-Fox, M. Schuetze, J. Kivits, T. Bergvelt, M. van Gelder, L. Filippin, S. Charron, Y. Minagawa-Kawai.

    An online database of infant functional Near InfraRed Spectroscopy studies: A community-augmented systematic review., in: PLoS One, 2013, vol. 8, no 3, e58906.
  • 9A. Cristia, Y. Minagawa-Kawai, N. Egorova, J. Gervain, L. Filippin, D. Cabrol, E. Dupoux.

    Neural correlates of infant dialect discrimination: A fNIRS study, in: Developmental Science, 2014, vol. 17, no 4, pp. 628-635.
  • 10A. Cristia, Y. Minagawa-Kawai, I. Vendelin, D. Cabrol, E. Dupoux.

    Responses to vocalizations and auditory controls in the human newborn brain, in: Plos One, 2014, vol. 9, no 12, e115162.
  • 11E. Dunbar, E. Dupoux.

    Geometric constraints on human speech sound inventories, in: Frontiers in Psychology, 2016, vol. 7, no 1061. [ DOI : 10.3389/fpsyg.2016.01061 ]
  • 12E. Dunbar, G. Synnaeve, E. Dupoux.

    Quantitative methods for comparing featural representations, in: ICPhS, 2015, paper number 1024.
  • 13E. Dupoux.

    Towards Quantitative Studies of Early Cognitive Development, in: Autonomous Mental Development Technical Committee Newsletter, 2014, vol. 11, no 1, pp. 10-11.
  • 14E. Dupoux.

    Category Learning in Songbirds: top-down effects are not unique to humans, in: Current Biology, 2015, vol. 25, no 16, pp. R718-R720.
  • 15E. Dupoux.

    Cognitive Science in the era of Artificial Intelligence: A roadmap for reverse-engineering the infant language-learner, in: Cognition, 2018.
  • 16A. Fourtassi, B. Boerschinger, M. Johnson, E. Dupoux.

    WhyisEnglishsoeasytosegment, in: Proceedings of the 4th Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2013), Sofia, Bulgaria, ACL, 2013, pp. 1-10.
  • 17A. Fourtassi, E. Dunbar, E. Dupoux.

    Self Consistency as an Inductive Bias in Early Language Acquisition, in: Proceedings of the 36th Annual Meeting of the Cognitive Science Society, CogSci, 2014, pp. 469-474.
  • 18A. Fourtassi, E. Dupoux.

    A corpus-based evaluation method for Distributional Semantic Models, in: Proceedings of ACL-SRW 2013, Sofia, Bulgaria, ACL, 2013, pp. 165-171.
  • 19A. Fourtassi, E. Dupoux.

    A Rudimentary Lexicon and Semantics Help Bootstrap Phoneme Acquisition, in: Proceedings of the 18th Conference on Computational Natural Language Learning (CoNLL), Baltimore, Maryland USA, Association for Computational Linguistics, June 2014, pp. 191-200. [ DOI : 10.3115/v1/W14-1620 ]
  • 20A. Fourtassi, E. Dupoux.

    The role of word-word co-occurrence in word learning, in: Proceedings of the 38th Annual Conference of the Cognitive Science Society, 2016, pp. 662-667.
  • 21A. Fourtassi, T. Schatz, B. Varadarajan, E. Dupoux.

    Exploring the Relative Role of Bottom-up and Top-down Information in Phoneme Learning, in: Proceedings of the 52nd Annual meeting of the ACL, Baltimore, Maryland, Association for Computational Linguistics, 2014, vol. 2, pp. 1-6. [ DOI : 10.3115/v1/P14-2001 ]
  • 22K. Gvozdic, S. Moutier, E. Dupoux, M. Buon.

    Priming Children's Use of Intentions in Moral Judgement with Metacognitive Training, in: Frontiers in Language Sciences, 2016, vol. 7, no 190. [ DOI : 10.3389/fpsyg.2016.00190 ]
  • 23H. Hermansky, L. Burget, J. Cohen, E. Dupoux, N. Feldman, J. Godfrey, S. Khudanpur, M. Maciejewski, S. H. Mallidi, A. Menon, T. Ogawa, V. Peddinti, R. Rose, R. Stern, M. Wiesner, K. Vesely.

    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), Brisbane, Australia, 19-24 April 2015, pp. 5009-5013.
  • 24A. Jansen, E. Dupoux, S. Goldwater, M. Johnson, S. Khudanpur, K. Church, N. Feldman, H. Hermansky, F. Metze, R. Rose, M. Seltzer, P. Clark, I. McGraw, B. Varadarajan, E. Bennett, B. Borschinger, J. Chiu, E. Dunbar, A. Fourtassi, D. Harwath, C.-y. Lee, K. Levin, A. Norouzian, V. Peddinti, R. Richardson, T. Schatz, S. Thomas.

    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), Vancouver, BC, Canada, IEEE, May 2013, pp. 8111-8115. [ DOI : 10.1109/icassp.2013.6639245 ]
  • 25M. Johnson, A. Christophe, K. Demuth, E. Dupoux.

    Modelling function words improves unsupervised word segmentation, in: Proceedings of the 52nd Annual meeting of the ACL, ACL, 2014, pp. 282–292. [ DOI : 10.3115/v1/P14-1027 ]
  • 26M. Johnson, J. Pater, R. Staub, E. Dupoux.

    Sign constraints on feature weights improve a joint model of word segmentation and phonology, in: NAACL HLT 2015, ACL, 2015, pp. 303-313. [ DOI : 10.3115/v1/N15-1034 ]
  • 27T. Linzen, E. Dupoux, Y. Goldberg.

    Assessing the ability of LSTMs to learn syntax-sensitive dependencies, in: Transactions of the Association for Computational Linguistics, 2016, vol. 4, pp. 521-535.
  • 28T. Linzen, E. Dupoux, B. Spector.

    Quantificational features in distributional word representations, in: Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics, 2016, pp. 1-11. [ DOI : 10.18653/v1/S16-2001 ]
  • 29B. Ludusan, A. Caranica, H. Cucu, A. Buzo, C. Burileanu, E. Dupoux.

    Exploring multi-language resources for unsupervised spoken term discovery, in: Speech Technology and Human-Computer Dialogue (SpeD), 2015 International Conference on, 2015, pp. 1-6.
  • 30B. Ludusan, A. Cristia, A. Martin, R. Mazuka, E. Dupoux.

    Learnability of prosodic boundaries: Is infant-directed speech easier?, in: Journal of the Acoustical Society of America, 2016, vol. 140, no 2, pp. 1239-1250.
  • 31B. Ludusan, E. Dupoux.

    Towards Low Resource Prosodic Boundary Detection, in: Proceedings of International Workshop on Spoken Language Technologies for Under-resourced Languages (SLTU'14), St Petersburg, Russia, SLTU, May 14-16 2014, pp. 231-237.
  • 32B. Ludusan, E. Dupoux.

    A multilingual study on intensity as a cue for marking prosodic boundaries, in: ICPhS, 2015, e982.
  • 33B. Ludusan, E. Dupoux.

    Automatic syllable segmentation using broad phonetic class information, in: SLTU-2016 Procedia Computer Science, 2016, vol. 81, pp. 101-106.
  • 34B. Ludusan, E. Dupoux.

    The role of prosodic boundaries in word discovery: Evidence from a computational model, in: Journal of the Acoustical Society of America, 2016, vol. 140, no 1, EL1.
  • 35B. Ludusan, G. Gravier, E. Dupoux.

    Incorporating Prosodic Boundaries in Unsupervised Term Discovery, in: Proceedings of Speech Prosody, Dublin, Ireland, 2014, vol. 7, pp. 939-943.
  • 36B. Ludusan, A. Origlia, E. Dupoux.

    Rhythm-Based Syllabic Stress Learning without Labelled Data, in: Proceedings of Statistical Language and Speech Processing -SLSP 2015, 2015, pp. 185-196.
  • 37B. Ludusan, A. Seidl, E. Dupoux, A. Cristia.

    Motif discovery in infant- and adult-directed speech, in: Proceedings of CogACLL2015, ACL, 2015, pp. 93-102. [ DOI : 10.18653/v1/W15-2413 ]
  • 38B. Ludusan, G. Synnaeve, E. Dupoux.

    Prosodic boundary information helps unsupervised word segmentation, in: NAACL HLT 2015, ACL, 2015, pp. 953-963. [ DOI : 10.3115/v1/N15-1096 ]
  • 39B. Ludusan, M. Versteegh, A. Jansen, G. Gravier, X.-N. Cao, M. Johnson, E. Dupoux.

    Bridging the gap between speech technology and natural language processing: an evaluation toolbox for term discovery systems, in: Proceedings of LREC 2014, Some place, LREC, 2014, pp. 560-567.
  • 40A. Martin, S. Peperkamp, E. Dupoux.

    Learning Phonemes with a Proto-lexicon, in: Cognitive Science, 2013, vol. 37, pp. 103-124. [ DOI : 10.1111/j.1551-6709.2012.01267.x ]
  • 41A. Martin, T. Schatz, M. Versteegh, K. Miyazawa, R. Mazuka, E. Dupoux, A. Cristia.

    Mothers speak less clearly to infants: A comprehensive test of the hyperarticulation hypothesis, in: Psychological Science, 2015, vol. 26, no 3, pp. 341-347. [ DOI : 10.1177/0956797614562453 ]
  • 42E. Michon, E. Dupoux, A. Cristia.

    Salient dimensions in implicit phonotactic learning, in: INTERSPEECH-2015, 2015, pp. 2665-2669.
  • 43Y. Minagawa-Kawai, A. Cristia, B. Long, I. Vendelin, Y. Hakuno, M. Dutat, L. Filippin, D. Cabrol, E. Dupoux.

    Insights on NIRS sensitivity from a cross-linguistic study on the emergence of phonological grammar, in: Frontiers in Language Sciences, April 16 2013, vol. 4, no 170. [ DOI : 10.3389/fpsyg.2013.00170 ]
  • 44C. Ngon, A. Martin, E. Dupoux, D. Cabrol, S. Peperkamp.

    Nonwords, nonwords, nonwords: Evidence for a proto-lexicon during the first year of life, in: Developmental Science, 2013, vol. 16, no 1, pp. 24-34. [ DOI : 10.1111/j.1467-7687.2012.01189.x ]
  • 45T. Ogawa, S. H. Mallidi, E. Dupoux, J. Cohen, N. Feldman, H. Hermansky.

    A new efficient measure for accuracy prediction and its application to multistream-based unsupervised adaptation, in: ICPR, 2016.
  • 46T. Schatz, V. Peddinti, F. Bach, A. Jansen, H. Hynek, E. Dupoux.

    Evaluating speech features with the Minimal-Pair ABX task: Analysis of the classical MFC/PLP pipeline, in: INTERSPEECH-2013, Lyon, France, International Speech Communication Association, 2013, pp. 1781-1785.
  • 47T. Schatz, V. Peddinti, X.-N. Cao, F. Bach, H. Hynek, E. Dupoux.

    Evaluating speech features with the Minimal-Pair ABX task (II): Resistance to noise, in: INTERSPEECH-2014, International Speech Communication Association, 2014, pp. 915-919.
  • 48G. Synnaeve, I. Dautriche, B. Boerschinger, M. Johnson, E. Dupoux.

    Unsupervised word segmentation in context, in: Proceedings of 25th International Conference on Computational Linguistics (CoLing), CoLing, 2014, pp. 2326-2334.
  • 49G. Synnaeve, E. Dupoux.

    In Depth Deep Beliefs Networks for Phone Recognition, in: Poster presented in NIPS-2013, NIPS, 2013.
  • 50G. Synnaeve, E. Dupoux.

    Weakly Supervised Multi-Embeddings Learning of Acoustic Models, in: ICLR Workshop, 2015, ArXiv 1412.6645 [cs.SD].
  • 51G. Synnaeve, E. Dupoux.

    A temporal coherence loss function for learning unsupervised acoustic embeddings, in: SLTU-2016 Procedia Computer Science, ISCA-ITRW, 2016, vol. 81, pp. 95-100.
  • 52G. Synnaeve, T. Schatz, E. Dupoux.

    Phonetics embedding learning with side information, in: IEEE Spoken Language Technology Workshop, IEEE, 2014, pp. 106 - 111. [ DOI : 10.1109/slt.2014.7078558 ]
  • 53G. Synnaeve, M. Versteegh, E. Dupoux.

    Learning words from images and speech, in: NIPS Workshop on Learning Semantics, Montreal, Canada, 2014.
  • 54R. Thiollière, E. Dunbar, G. Synnaeve, M. Versteegh, E. Dupoux.

    A Hybrid Dynamic Time Warping-Deep Neural Network Architecture for Unsupervised Acoustic Modeling, in: INTERSPEECH-2015, 2015, pp. 3179-3183.
  • 55M. Versteegh, X. Anguera, A. Jansen, E. Dupoux.

    The Zero Resource Speech Challenge 2015: Proposed Approaches and Results, in: SLTU-2016 Procedia Computer Science, ISCA-ITRW, 2016, vol. 81, pp. 67-72.
  • 56M. Versteegh, R. Thiollière, T. Schatz, X.-N. Cao, X. Anguera, A. Jansen, E. Dupoux.

    The Zero Resource Speech Challenge 2015, in: INTERSPEECH-2015, 2015, pp. 3169-3173.
  • 57N. Zeghidour, G. Synnaeve, N. Usunier, E. Dupoux.

    Joint Learning of Speaker and Phonetic Similarities with Siamese Networks, in: INTERSPEECH-2016, ISCA, 2016, pp. 1295-1299.
  • 58N. Zeghidour, G. Synnaeve, M. Versteegh, E. Dupoux.

    A Deep Scattering Spectrum - Deep Siamese Network Pipeline For Unsupervised Acoustic Modeling, in: ICASSP-2016, IEEE, 2016, pp. 4965-4969.
  • 59R. de Diego-Balaguer, C. Schramm, I. Rebeix, E. Dupoux, A. Durr, A. Brice, P. Charles, L. Cleret de Langavant, K. Youssov, C. Verny, V. Damotte, J.-P. Azulay, C. Goizet, C. Simonin, C. Tranchant, P. Maison, A. Rialland, D. Schmitz, C. Jacquemot, B. Fontaine, A.-C. Bachoud-Lévi.

    COMT Val158Met Polymorphism Modulates Huntington's Disease Progression, in: Plos One, 2016, vol. 11, no 9, e0161106. [ DOI : 10.1371/journal.pone.0161106 ]
Publications of the year

Articles in International Peer-Reviewed Journals

  • 60A. Cristia, E. Dupoux, M. Gurven, J. Stieglitz.

    Child-Directed Speech Is Infrequent in a Forager-Farmer Population: A Time Allocation Study, in: Child Development, 2017. [ DOI : 10.1111/cdev.12974 ]

    https://hal.inria.fr/hal-01687336
  • 61A. Guevara-Rukoz, I. Lin, M. Morii, Y. Minagawa-Kawai, E. Dupoux, S. Peperkamp.

    Which epenthetic vowel? Phonetic categories versus acoustic detail in perceptual vowel epenthesis, in: Journal of the Acoustical Society of America, August 2017, vol. 142, no 2, pp. EL211 - EL217. [ DOI : 10.1121/1.4998138 ]

    https://hal.inria.fr/hal-01687489
  • 62S. Tsuji, P. Fikkert, Y. Minagawa-Kawai, E. Dupoux, L. Filippin, M. Versteegh, P. Hagoort, A. Cristia.

    The more, the better? Behavioral and neural correlates of frequent and infrequent vowel exposure, in: Developmental Psychobiology, July 2017, vol. 59, no 5, pp. 603 - 612. [ DOI : 10.1002/dev.21534 ]

    https://hal.inria.fr/hal-01687403

International Conferences with Proceedings

  • 63R. Chaabouni, E. Dunbar, N. Zeghidour, E. Dupoux.

    Learning Weakly Supervised Multimodal Phoneme Embeddings, in: Interspeech 2017, Stockholm, Sweden, ISCA, 2017. [ DOI : 10.21437/Interspeech.2017-1689 ]

    https://hal.inria.fr/hal-01687415
  • 64A. Guevara-Rukoz, E. Parlato-Oliveira, S. Yu, Y. Hirose, S. Peperkamp, E. Dupoux.

    Predicting Epenthetic Vowel Quality from Acoustics, in: Interspeech 2017, Stockholm, Sweden, ISCA, 2017. [ DOI : 10.21437/Interspeech.2017-1735 ]

    https://hal.inria.fr/hal-01687378
  • 65E. Larsen, E. Dupoux, A. Cristia.

    Relating Unsupervised Word Segmentation to Reported Vocabulary Acquisition, in: Interspeech 2017, Stockholm, Sweden, ISCA, 2017. [ DOI : 10.21437/Interspeech.2017-937 ]

    https://hal.inria.fr/hal-01687534
  • 66G. Le Godais, T. Linzen, E. Dupoux.

    Comparing Character-level Neural Language Models Using a Lexical Decision Task, in: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, Valencia, Spain, Association for Computational Linguistics, April 2017. [ DOI : 10.18653/v1/E17-2020 ]

    https://hal.inria.fr/hal-01687583
  • 68M. Paul, O. Rasanen, R. Thiollière, E. Dupoux.

    Blind Phoneme Segmentation With Temporal Prediction Errors, in: Proceedings of ACL 2017, Student Research Workshop, Vancouver, Canada, Association for Computational Linguistics, July 2017, https://arxiv.org/abs/1608.00508. [ DOI : 10.18653/v1/P17-3011 ]

    https://hal.inria.fr/hal-01687524
  • 69T. Schatz, R. Turnbull, F. Bach, E. Dupoux.

    A Quantitative Measure of the Impact of Coarticulation on Phone Discriminability, in: Interspeech 2017, Stockholm, Sweden, ISCA, 2017. [ DOI : 10.21437/Interspeech.2017-1306 ]

    https://hal.inria.fr/hal-01687436

Books or Proceedings Editing

References in notes
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    Delving deep into rectifiers: Surpassing human-level performance on imagenet classification, in: Proceedings of the IEEE International Conference on Computer Vision, 2015, pp. 1026–1034.
  • 73J. Hernández-Orallo, F. Martínez-Plumed, U. Schmid, M. Siebers, D. L. Dowe.

    Computer models solving intelligence test problems: Progress and implications, in: Artificial Intelligence, 2016, vol. 230, pp. 74–107.
  • 74B. M. Lake, T. D. Ullman, J. B. Tenenbaum, S. J. Gershman.

    Building machines that learn and think like people, in: arXiv preprint arXiv:1604.00289, 2016.
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    Surpassing human-level face verification performance on LFW with GaussianFace, in: arXiv preprint arXiv:1404.3840, 2014.
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    A partial implementation of the BICA cognitive decathlon using the Psychology Experiment Building Language (PEBL), in: International Journal of Machine Consciousness, 2010, vol. 2, no 02, pp. 273–288.
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    Mastering the game of Go with deep neural networks and tree search, in: Nature, 2016, vol. 529, no 7587, pp. 484–489.
  • 78I. Sutskever, O. Vinyals, Q. V. Le.

    Sequence to sequence learning with neural networks, in: Advances in neural information processing systems, 2014, pp. 3104–3112.
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    Computing machinery and intelligence, in: Mind, 1950, vol. 59, no 236, pp. 433–460.
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    Achieving human parity in conversational speech recognition, in: arXiv preprint arXiv:1610.05256, 2016.


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