Unveiling the Linguistic Capabilities of a Self-Supervised Speech Model Through Cross-Lingual Benchmark and Layer- Wise Similarity Analysis
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DOI: 10.1109/access.2024.3428364
Abstract: Self-supervised learning (SSL), an unsupervised representation learning technique, has received widespread attention across various modalities. Speech, with its inherent complexity encompassing acoustic (e.g., speaker, phoneme, and paralinguistic cues) and linguistic (e.g., words, semantics, and syntax)… read more here.
Keywords: ssl; language; ssl models; similarity analysis ... See more keywords