2024
Dual Parameter-Efficient Fine-Tuning for Speaker Representation Via Speaker Prompt Tuning and Adapters
ICASSP 2024accepted
Fine-tuning a pre-trained Transformer model (PTM) for speech applications in a parameter-efficient manner offers the dual benefits of reducing memory and leveraging the rich feature representations in massive unlabeled datasets. However, existing parameter-efficient fine-tuning approaches either ada…