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2010 – 2019
- 2018
[j1]Adriana Guevara-Rukoz, Alejandrina Cristià, Bogdan Ludusan, Roland Thiollière, Andrew Martin, Reiko Mazuka, Emmanuel Dupoux
:
Are Words Easier to Learn From Infant- Than Adult-Directed Speech? A Quantitative Corpus-Based Investigation. Cogn. Sci. 42(5): 1586-1617 (2018)- 2017
- [c4]Paul Michel, Okko Räsänen, Roland Thiollière, Emmanuel Dupoux:
Blind Phoneme Segmentation With Temporal Prediction Errors. ACL (Student Research Workshop) 2017: 62-68 - [i2]Adriana Guevara-Rukoz, Alejandrina Cristià, Bogdan Ludusan, Roland Thiollière, Andrew Martin, Reiko Mazuka, Emmanuel Dupoux:
Are words easier to learn from infant- than adult-directed speech? A quantitative corpus-based investigation. CoRR abs/1712.08793 (2017) - 2016
- [c3]M. Julia Carbajal, Ahmad Dawud, Roland Thiollière, Emmanuel Dupoux:
The "language filter" hypothesis: A feasibility study of language separation in infancy using unsupervised clustering of I-vectors. ICDL-EPIROB 2016: 195-201 - [i1]Paul Michel, Okko Räsänen, Roland Thiollière, Emmanuel Dupoux:
Improving Phoneme segmentation with Recurrent Neural Networks. CoRR abs/1608.00508 (2016) - 2015
- [c2]Maarten Versteegh, Roland Thiollière, Thomas Schatz, Xuan-Nga Cao, Xavier Anguera, Aren Jansen, Emmanuel Dupoux:
The zero resource speech challenge 2015. INTERSPEECH 2015: 3169-3173 - [c1]Roland Thiollière, Ewan Dunbar, Gabriel Synnaeve, Maarten Versteegh, Emmanuel Dupoux:
A hybrid dynamic time warping-deep neural network architecture for unsupervised acoustic modeling. INTERSPEECH 2015: 3179-3183
Coauthor Index
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