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Speaker-Disentangled Chunk-Wise Regression for Syllabic Tokenization

arXiv cs.CL ↗ · 2026-07-07 Cached

Proposes speaker-disentangled syllabic tokenization using chunk-wise regression to learn linguistic content tokens from raw speech, achieving state-of-the-art in syllable boundary detection and clustering, and improving speech language model performance.

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