Prompting and Adapter Tuning For Self-Supervised Encoder-Decoder Speech Model
Prompting and Adapter Tuning For Self-Supervised Encoder-Decoder Speech Model
Prompting and adapter tuning have emerged as efficient alternatives to fine-tuning (FT) methods. However, existing studies on speech prompting focused on classification tasks and failed on more complex sequence generation tasks. Besides, adapter tuning is primarily applied with a focus on encoder-only self-supervised models. Our experiments show that prompting on …