Ewan Dunbar

Orcid: 0000-0001-9603-953X

According to our database1, Ewan Dunbar authored at least 29 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Bigger is not Always Better: The Effect of Context Size on Speech Pre-Training.
CoRR, 2023

Zero Resource Code-switched Speech Benchmark Using Speech Utterance Pairs For Multiple Spoken Languages.
CoRR, 2023

2022
Self-Supervised Language Learning From Raw Audio: Lessons From the Zero Resource Speech Challenge.
IEEE J. Sel. Top. Signal Process., 2022

Evaluating context-invariance in unsupervised speech representations.
CoRR, 2022

Are word boundaries useful for unsupervised language learning?
CoRR, 2022

Toward a realistic model of speech processing in the brain with self-supervised learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Do self-supervised speech models develop human-like perception biases?
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
The Interspeech Zero Resource Speech Challenge 2021: Spoken language modelling.
CoRR, 2021

The Zero Resource Speech Challenge 2021: Spoken Language Modelling.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Paraphrases do not explain word analogies.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Predicting non-native speech perception using the Perceptual Assimilation Model and state-of-the-art acoustic models.
Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

2020
The Zero Resource Speech Benchmark 2021: Metrics and baselines for unsupervised spoken language modeling.
CoRR, 2020

Independent and Automatic Evaluation of Speaker-Independent Acoustic-to-Articulatory Reconstruction.
Proceedings of the Interspeech 2020, 2020

Perceptimatic: A Human Speech Perception Benchmark for Unsupervised Subword Modelling.
Proceedings of the Interspeech 2020, 2020

The Zero Resource Speech Challenge 2020: Discovering Discrete Subword and Word Units.
Proceedings of the Interspeech 2020, 2020

Analogies minus analogy test: measuring regularities in word embeddings.
Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

The Perceptimatic English Benchmark for Speech Perception Models.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Modelling Perceptual Effects of Phonology with ASR Systems.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019
Independent and automatic evaluation of acoustic-to-articulatory inversion models.
CoRR, 2019


RNNs implicitly implement tensor-product representations.
Proceedings of the 7th International Conference on Learning Representations, 2019

Comparing unsupervised speech learning directly to human performance in speech perception.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2017
Learning Weakly Supervised Multimodal Phoneme Embeddings.
Proceedings of the Interspeech 2017, 2017

The zero resource speech challenge 2017.
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

2015
A hybrid dynamic time warping-deep neural network architecture for unsupervised acoustic modeling.
Proceedings of the INTERSPEECH 2015, 2015

Quantitative methods for comparing featural representations.
Proceedings of the 18th International Congress of Phonetic Sciences, 2015

2014
Self-Consistency as an Inductive Bias in Early Language Acquisition.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013
A Single-Stage Approach to Learning Phonological Categories: Insights From Inuktitut.
Cogn. Sci., 2013



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