Ewan Dunbar
Assistant Professor
Studies computational models of speech perception and evaluation of self-supervised speech representations.
Ewan Dunbar's lab at Toronto works on speech recognition & spoken language, generative & foundation models and robot perception & SLAM. 8 papers since 2023, 5 at top venues, mostly Interspeech and ICASSP. 2 master's students. 6 alumni. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 63%
- PhD students
- 0
- MS students
- 2
- alumni listed
- 6
Papers by yearfrom the lab homepage, 2023–2026
- 1 papers2026 · T1 0 · collecting
- 2 papers2025 · T1 2
- 2 papers2024 · T1 2
- 3 papers2023 · T1 1
T1 venuesOtherVenues: Interspeech, ICASSP
Research focuspaper titles that use each topic's words
- Speech recognition & spoken language6 papers
- speech6 papers
- Robot perception & SLAM1 paper
- Generative & foundation models0 papers
- self-supervised speech0 papers
Paper list
From the lab homepage.
20261 paper
- Western Papers in LinguisticsClassification Vectors as a Tool for Modelling Human Speech Perception (opens in a new tab)
20252 papers
20242 papers
20233 papers
- Proceedings of the Sixth Workshop on the Use of Computational Methods in the Study of Endangered LanguagesA morphological analyzer for Huasteca Nahuatl (opens in a new tab)
- Interspeech (T1)Evaluating context-invariance in unsupervised speech representations (opens in a new tab)
- Proceedings of the Society for Computation in LinguisticsExtracting binary features from speech production errors and perceptual confusions using Redundancy-Corrected Transmission (opens in a new tab)
Where alumni went6 listed
Apply to TorontoFall 2027
Computer Science MSc/PhD
- Round
- Single round (Dec 1)
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS if applicable
- Fee
- CAD 135
Confirmed on the program page.
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Data
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- Papers
- The lab homepage
- Members
- Lab homepage
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- Lab homepage
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