1 citations · 1 across the 5 of their papers we have counts for
5 papers
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…
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…
PolySpeech: Exploring Unified Multitask Speech Models for Competitiveness with Single-task Models
Runyan Yang, Huibao Yang, Xiqing Zhang +6
Recently, there have been attempts to integrate various speech processing tasks into a unified model. However, few previous works directly demonstrated that joint optimization of d…
VE-KWS: Visual Modality Enhanced End-to-End Keyword Spotting
Ao Zhang, He Wang, Pengcheng Guo +5
The performance of the keyword spotting (KWS) system based on audio modality, commonly measured in false alarms and false rejects, degrades significantly under the far field and no…
Meta Auxiliary Learning for Low-resource Spoken Language Understanding
Yingying Gao, Junlan Feng, Chao Deng +1
Spoken language understanding (SLU) treats automatic speech recognition (ASR) and natural language understanding (NLU) as a unified task and usually suffers from data scarcity. We…