A Large-Scale Probing Analysis of Speaker-Specific Attributes in Self-Supervised Speech Representations

arXiv:2501.05310v3 Announce Type: replace-cross Abstract: Enhancing explainability in speech self-supervised learning (SSL) is important for developing reliable SSL-based speech processing systems. This study probes how speech SSL models encode speaker-specific information via...

🔗 Read more: https://arxiv.org/abs/2501.05310

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