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A Large-Scale Probing Analysis of Speaker-Specific Attributes in Self-Supervised Speech Representations
Enhancing explainability in speech self-supervised learning (SSL) is important for understanding and effectively utilising speech SSL representations. This study conducts a large-scale layer-wise probing analysis of 11 speech SSL models, examining speaker identity together with acoustic, prosodic, a
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