SSVD-O: Parameter-Efficient Fine-Tuning with Structured SVD for Speech Recognition

Pu Wang, Shinji Watanabe, Hugo Van hamme

Parameter-efficient fine-tuning (PEFT) is a scalable approach for adapting large speech foundation models to new domains. While methods such as LoRA and its state-of-the-art varian…