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Matthew K Leonard

1 accepted papers

2025

Emergent morpho-phonological representations in self-supervised speech models

EMNLP 2025

Self-supervised speech models can be trained to efficiently recognize spoken words in naturalistic, noisy environments. However, we do not understand the types of linguistic representations these models use to accomplish this task. To address this question, we study how S3M variants optimized for wo

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