3 papers
cs.CL2024
PEFT for Speech: Unveiling Optimal Placement, Merging Strategies, and Ensemble Techniques
Tzu-Han Lin, How-Shing Wang, Hao-Yung Weng +3
Parameter-Efficient Fine-Tuning (PEFT) is increasingly recognized as an effective method in speech processing. However, the optimal approach and the placement of PEFT methods remai…
eess.AS2023
CHAPTER: Exploiting Convolutional Neural Network Adapters for Self-supervised Speech Models
Zih-Ching Chen, Yu-Shun Sung, Hung-yi Lee
Self-supervised learning (SSL) is a powerful technique for learning representations from unlabeled data. Transformer based models such as HuBERT, which consist a feature extractor…
cs.CV2022
Learning Facial Liveness Representation for Domain Generalized Face Anti-spoofing
Zih-Ching Chen, Lin-Hsi Tsao, Chin-Lun Fu +2
Face anti-spoofing (FAS) aims at distinguishing face spoof attacks from the authentic ones, which is typically approached by learning proper models for performing the associated cl…