A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition. - Aren Jansen; Emmanuel Dupoux; Sharon Goldwater; Mark Johnson 001; Sanjeev Khudanpur; Kenneth Church 001; Naomi Feldman; Hynek Hermansky; Florian Metze; Richard C. Rose; Mike Seltzer; Pascal Clark; et al. (ICASSP, 2013)

A Single-Stage Approach to Learning Phonological Categories: Insights From Inuktitut. - Brian Dillon; Ewan Dunbar; William J. Idsardi (Cogn. Sci., 2013)

Self-Consistency as an Inductive Bias in Early Language Acquisition. - Abdellah Fourtassi; Ewan Dunbar; Emmanuel Dupoux (CogSci, 2014)

Quantitative methods for comparing featural representations. - Ewan Dunbar; Gabriel Synnaeve; Emmanuel Dupoux (ICPhS, 2015)

A hybrid dynamic time warping-deep neural network architecture for unsupervised acoustic modeling. - Roland Thiollière; Ewan Dunbar; Gabriel Synnaeve; Maarten Versteegh; Emmanuel Dupoux (INTERSPEECH, 2015)

The zero resource speech challenge 2017. - Ewan Dunbar; Xuan-Nga Cao; Juan Benjumea; Julien Karadayi; Mathieu Bernard; Laurent Besacier; Xavier Anguera; Emmanuel Dupoux (ASRU, 2017)

Learning Weakly Supervised Multimodal Phoneme Embeddings. - Rahma Chaabouni 001; Ewan Dunbar; Neil Zeghidour; Emmanuel Dupoux (INTERSPEECH, 2017)

Comparing unsupervised speech learning directly to human performance in speech perception. - Juliette Millet; Nika Jurov; Ewan Dunbar (CogSci, 2019)

RNNs implicitly implement tensor-product representations. - R. Thomas McCoy; Tal Linzen; Ewan Dunbar; Paul Smolensky (ICLR (Poster), 2019)

The Zero Resource Speech Challenge 2019: TTS Without T. - Ewan Dunbar; Robin Algayres; Julien Karadayi; Mathieu Bernard; Juan Benjumea; Xuan-Nga Cao; Lucie Miskic; Charlotte Dugrain; Lucas Ondel; Alan W. Black; Laurent Besacier; Sakriani Sakti; et al. (INTERSPEECH, 2019)

Independent and automatic evaluation of acoustic-to-articulatory inversion models. - Maud Parrot; Juliette Millet; Ewan Dunbar (CoRR, 2019)

Modelling Perceptual Effects of Phonology with ASR Systems. - Bing'er Jiang; Ewan Dunbar; Morgan Sonderegger; Meghan Clayards; Emmanuel Dupoux (CogSci, 2020)

The Perceptimatic English Benchmark for Speech Perception Models. - Juliette Millet; Ewan Dunbar (CogSci, 2020)

Analogies minus analogy test: measuring regularities in word embeddings. - Louis Fournier; Emmanuel Dupoux; Ewan Dunbar (CoNLL, 2020)

The Zero Resource Speech Challenge 2020: Discovering Discrete Subword and Word Units. - Ewan Dunbar; Julien Karadayi; Mathieu Bernard; Xuan-Nga Cao; Robin Algayres; Lucas Ondel; Laurent Besacier; Sakriani Sakti; Emmanuel Dupoux (INTERSPEECH, 2020)

Perceptimatic: A Human Speech Perception Benchmark for Unsupervised Subword Modelling. - Juliette Millet; Ewan Dunbar (INTERSPEECH, 2020)

Independent and Automatic Evaluation of Speaker-Independent Acoustic-to-Articulatory Reconstruction. - Maud Parrot; Juliette Millet; Ewan Dunbar (INTERSPEECH, 2020)

The Zero Resource Speech Benchmark 2021: Metrics and baselines for unsupervised spoken language modeling. - Tu Anh Nguyen; Maureen de Seyssel; Patricia Rozé; Morgane Rivière; Evgeny Kharitonov; Alexei Baevski; Ewan Dunbar; Emmanuel Dupoux (CoRR, 2020)

Predicting non-native speech perception using the Perceptual Assimilation Model and state-of-the-art acoustic models. - Juliette Millet; Ioana Chitoran; Ewan Dunbar (CoNLL, 2021)

Paraphrases do not explain word analogies. - Louis Fournier; Ewan Dunbar (EACL, 2021)

The Zero Resource Speech Challenge 2021: Spoken Language Modelling. - Ewan Dunbar; Mathieu Bernard; Nicolas Hamilakis; Tu Anh Nguyen; Maureen de Seyssel; Patricia Rozé; Morgane Rivière; Eugene Kharitonov; Emmanuel Dupoux (Interspeech, 2021)

The Interspeech Zero Resource Speech Challenge 2021: Spoken language modelling. - Ewan Dunbar; Mathieu Bernard; Nicolas Hamilakis; Tu Anh Nguyen; Maureen de Seyssel; Patricia Rozé; Morgane Rivière; Eugene Kharitonov; Emmanuel Dupoux (CoRR, 2021)

Do self-supervised speech models develop human-like perception biases? - Juliette Millet; Ewan Dunbar (ACL (1), 2022)

Toward a realistic model of speech processing in the brain with self-supervised learning. - Juliette Millet; Charlotte Caucheteux; Pierre Orhan; Yves Boubenec; Alexandre Gramfort; Ewan Dunbar; Christophe Pallier; Jean-Remi King (NeurIPS, 2022)

Are word boundaries useful for unsupervised language learning? - Tu Anh Nguyen; Maureen de Seyssel; Robin Algayres; Patricia Rozé; Ewan Dunbar; Emmanuel Dupoux (CoRR, 2022)

Self-Supervised Language Learning From Raw Audio: Lessons From the Zero Resource Speech Challenge. - Ewan Dunbar; Nicolas Hamilakis; Emmanuel Dupoux (IEEE J. Sel. Top. Signal Process., 2022)

Evaluating context-invariance in unsupervised speech representations. - Mark Hallap; Emmanuel Dupoux; Ewan Dunbar (INTERSPEECH, 2023)

Bigger is not Always Better: The Effect of Context Size on Speech Pre-Training. - Sean Robertson; Ewan Dunbar (CoRR, 2023)

Zero Resource Code-Switched Speech Benchmark Using Speech Utterance Pairs for Multiple Spoken Languages. - Kuan-Po Huang; Chih-Kai Yang; Yu-Kuan Fu; Ewan Dunbar; Hung-Yi Lee (ICASSP, 2024)

Quantifying the Role of Textual Predictability in Automatic Speech Recognition. - Sean Robertson; Gerald Penn; Ewan Dunbar (INTERSPEECH, 2024)

The Faetar Benchmark: Speech Recognition in a Very Under-Resourced Language. - Michael Ong; Sean Robertson; Leo Peckham; Alba Jorquera Jimenez de Aberasturi; Paula Arkhangorodsky; Robin Huo; Aman Sakhardande; Mark Hallap; Naomi Nagy; Ewan Dunbar (CoRR, 2024)