Papers by Gaofei Shen

1 papers
Encoding of lexical tone in self-supervised models of spoken language (2024.naacl-long)

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Challenge: Existing research on representations of phonetic and phonological information has focused on segmental features such as phonemes.
Approach: They propose to analyze the tone encoding capabilities of self-supervised Spoken Language Models, using Mandarin and Vietnamese as case studies.
Outcome: The proposed models encode lexical tone even when trained on non-tonal languages.

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