3 papers
cs.CL2024
Exploring Energy-Based Models for Out-of-Distribution Detection in Dialect Identification
Yaqian Hao, Chenguang Hu, Yingying Gao +2
The diverse nature of dialects presents challenges for models trained on specific linguistic patterns, rendering them susceptible to errors when confronted with unseen or out-of-di…
eess.AS2024
On Calibration of Speech Classification Models: Insights from Energy-Based Model Investigations
Yaqian Hao, Chenguang Hu, Yingying Gao +2
For speech classification tasks, deep learning models often achieve high accuracy but exhibit shortcomings in calibration, manifesting as classifiers exhibiting overconfidence. The…
eess.AS2024
CEC: A Noisy Label Detection Method for Speaker Recognition
Yao Shen, Yingying Gao, Yaqian Hao +4
Noisy labels are inevitable, even in well-annotated datasets. The detection of noisy labels is of significant importance to enhance the robustness of speaker recognition models. In…