Papers by Cheol Jun Cho

1 papers
[b] = [d] - [t] + [p]: Self-supervised Speech Models Discover Phonological Vector Arithmetic (2026.findings-acl)

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Challenge: Existing studies on how self-supervised speech models encode rich phonetic information have not explored how they are structured.
Approach: They conduct a comprehensive analysis of the underlying structure of S3M representations with particular attention to phonological vectors.
Outcome: The proposed model encodes phonologically interpretable and compositional vectors, demonstrating phonology vector arithmetic.

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