ملف الباحث
Zih-Ching Chen
ورقة واحدة في مجموعة PaperMetrix
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Exploring Efficient-tuning Methods in Self-supervised Speech Models
2022 · arXiv (Cornell University)
In this study, we aim to explore efficient tuning methods for speech self-supervised learning. Recent studies show that self-supervised learning (SSL) can learn powerful representations for different speech tasks. However, fine-tuning pre-trained models for each …