| The Zero Resource Speech Challenge 2017 E Dunbar, XN Cao, J Benjumea, J Karadayi, M Bernard, L Besacier, ... 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2017 | 191 | 2017 |
| The Zero Resource Speech Challenge 2019: TTS without T E Dunbar, R Algayres, J Karadayi, M Bernard, J Benjumea, XN Cao, ... INTERSPEECH 2019: Twentieth Annual Conference of the International Speech …, 2019 | 146* | 2019 |
| A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition A Jansen, E Dupoux, S Goldwater, M Johnson, S Khudanpur, K Church, ... 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 122 | 2013 |
| The Zero Resource Speech Benchmark 2021: Metrics and baselines for unsupervised spoken language modeling TA Nguyen, M de Seyssel, P Rozé, M Rivière, E Kharitonov, A Baevski, ... NeurIPS Workshop on Self-Supervised Learning for Speech and Audio Processing, 2020 | 116 | 2020 |
| Toward a realistic model of speech processing in the brain with self-supervised learning J Millet, C Caucheteux, P Orhan, Y Boubenec, A Gramfort, E Dunbar, ... Advances in Neural Information Processing Systems, 2022 | 112 | 2022 |
| A hybrid dynamic time warping-deep neural network architecture for unsupervised acoustic modeling R Thiolliere, E Dunbar, G Synnaeve, M Versteegh, E Dupoux INTERSPEECH 2015: Sixteenth Annual Conference of the International Speech …, 2015 | 86 | 2015 |
| A single‐stage approach to learning phonological categories: Insights from Inuktitut B Dillon, E Dunbar, W Idsardi Cognitive Science 37 (2), 344-377, 2013 | 84 | 2013 |
| Mouse tracking as a window into decision making M Maldonado, E Dunbar, E Chemla Behavior research methods 51, 1085-1101, 2019 | 73 | 2019 |
| The Zero Resource Speech Challenge 2020: Discovering discrete subword and word units E Dunbar, J Karadayi, M Bernard, XN Cao, R Algayres, L Ondel, ... INTERSPEECH 2020: Twenty-First Annual Conference of the International Speech …, 2020 | 72 | 2020 |
| RNNs implicitly implement tensor product representations RT McCoy, T Linzen, E Dunbar, P Smolensky International Conference on Learning Representations (ICLR), 2019 | 72 | 2019 |
| Addressing the ``two interface'' problem: Comparatives and superlatives E Dunbar, A Wellwood Glossa: a journal of general linguistics 1 (1), 2016 | 59 | 2016 |
| The Zero Resource Speech Challenge 2021: Spoken language modelling E Dunbar, M Bernard, N Hamilakis, TA Nguyen, M de Seyssel, P Rozé, ... INTERSPEECH 2021: Twenty-second Annual Conference of the International …, 2021 | 51 | 2021 |
| Self-supervised language learning from raw audio: Lessons from the zero resource speech challenge E Dunbar, N Hamilakis, E Dupoux IEEE Journal of Selected Topics in Signal Processing 16 (6), 1211-1226, 2022 | 35 | 2022 |
| Analogies minus analogy test: measuring regularities in word embeddings L Fournier, E Dupoux, E Dunbar Proceedings of the 24th Conference on Computational Natural Language …, 2020 | 26 | 2020 |
| Independent and Automatic Evaluation of Speaker-Independent Acoustic-to-Articulatory Reconstruction M Parrot, J Millet, E Dunbar INTERSPEECH 2020: Twenty-First Annual Conference of the International Speech …, 2020 | 25* | 2020 |
| Developing intermediate language learning materials: A Labrador Inuttitut story database J Dicker, E Dunbar, A Johns Indigenous Language Revitalization: Encouragement, Guidance & Lessons …, 2009 | 21 | 2009 |
| Do self-supervised speech models develop human-like perception biases? J Millet, E Dunbar Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 20 | 2022 |
| Geometric constraints on human speech sound inventories E Dunbar, E Dupoux Frontiers in Psychology: Language Sciences 7 (Article 1061), 2016 | 19 | 2016 |
| Learning weakly supervised multimodal phoneme embeddings R Chaabouni, E Dunbar, N Zeghidour, E Dupoux INTERSPEECH 2017: Eighteenth Annual Conference of the International Speech …, 2017 | 14 | 2017 |
| Predicting non-native speech perception using the Perceptual Assimilation Model and state-of-the-art acoustic models J Millet, I Chitoran, E Dunbar Proceedings of the 25th Conference on Computational Natural Language Learning, 2022 | 13 | 2022 |
Emmanuel DupouxProfessor of Cognitive Psychology, Ecole des Hautes Etudes en Sciences Sociales, ParisEmail verificata su ehess.fr