How Far Do SSL Speech Models Listen for Tone? Temporal Focus of Tone Representation under Low-resource Transfer
Analysis
This article likely investigates the ability of Self-Supervised Learning (SSL) speech models to understand and represent the tone of speech, particularly in scenarios with limited data (low-resource transfer). The research likely explores the temporal aspects of how these models process and focus on tonal information.
Key Takeaways
Reference
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