Speaker-Disentangled Chunk-Wise Regression for Syllabic Tokenization

Researchers introduce a new method for syllabic tokenization that disentangles speaker identity from linguistic content, improving performance in speech language modeling. The proposed method achieves state-of-the-art results in syllable boundary detection and segment clustering. This work may lead to better speech recognition and language understanding systems.

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