Author

Hao Tang

University of EdinburghORCID 0000-0002-2445-2605Unclaimed ORCID profile · follow to get notified of new preprints

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Hao Tang2 papers

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Neuroscience· 1

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Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1

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Naomi H. FeldmaniD· 1 shared Oli Danyi Liu· 1 shared Sharon Goldwater· 1 shared

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2026-2026 · peak 1/yr

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Naomi H. FeldmanORCID

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1 paper

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NeurosciencebioRxivPreprintJan 17, 2026

Brain-like dynamics in speech representations can emerge through self-supervised learning

Oli Danyi Liu, Hao Tang, Naomi H. Feldman, Sharon Goldwater

This study shows self-supervised speech models can develop brain-like temporal dynamics and abstraction of speech variability without lexical feedback, even when trained on non-speech audio.

DOI 10.64898/2026.01.16.700011

machine learning (classical)benchmarking

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