Ewan Dunbar
Cited by
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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
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
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
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
A single‐stage approach to learning phonological categories: Insights from Inuktitut
B Dillon, E Dunbar, W Idsardi
Cognitive Science 37 (2), 344-377, 2013
Addressing the ``two interface'' problem: Comparatives and superlatives
E Dunbar, A Wellwood
Glossa: a journal of general linguistics 1 (1), 2016
RNNs implicitly implement tensor product representations
RT McCoy, T Linzen, E Dunbar, P Smolensky
International Conference on Learning Representations (ICLR), 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
Mouse tracking as a window into decision making
M Maldonado, E Dunbar, E Chemla
Behavior Research Methods 51 (3), 1085-1101, 2019
The Zero Resource Speech Benchmark 2021: Metrics and baselines for unsupervised spoken language modeling
TA Nguyen, M de Seyssel, P Rozé, M Rivičre, E Kharitonov, A Baevski, ...
NeurIPS Workshop on Self-Supervised Learning for Speech and Audio Processing, 2020
Developing intermediate language learning materials: A Labrador Inuttitut story database
J Dicker, E Dunbar, A Johns
Indigenous Language Revitalization: Encouragement, Guidance & Lessons …, 2009
Geometric constraints on human speech sound inventories
E Dunbar, E Dupoux
Frontiers in Psychology: Language Sciences 7 (Article 1061), 2016
Quantitative methods for comparing featural representations
E Dunbar, G Synnaeve, E Dupoux
ICPhS 2015: 18th Annual Congress of Phonetic Sciences, 2015
The acquisition of phonological inventories
E Dunbar, W Idsardi
The Oxford Handbook of Developmental Linguistics, 7-26, 2012
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
Learning weakly supervised multimodal phoneme embeddings
R Chaabouni, E Dunbar, N Zeghidour, E Dupoux
INTERSPEECH 2017: Eighteenth Annual Conference of the International Speech …, 2017
Finite-state phonology predicts a typological gap in cyclic stress assignment
B Bjorkman, E Dunbar
Linguistic Inquiry 47 (2), 351-363, 2016
Self-consistency as an inductive bias in early language acquisition
A Fourtassi, E Dunbar, E Dupoux
Proceedings for the 36th Annual Meeting of the Cognitive Science Society …, 2014
Comparing unsupervised speech learning directly to human performance in speech perception
J Millet, N Jurov, E Dunbar
Proceedings for the 41st Annual Meeting of the Cognitive Science Society, 2019
Review of ``A critical introduction to phonology: of sound, mind, and body''
E Dunbar, WJ Idsardi
Phonology 27, 325-331, 2010
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