2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.LG2021★ 2 cited
Unsupervised Model Drift Estimation with Batch Normalization Statistics for Dataset Shift Detection and Model Selection
Wonju Lee, Seok-Yong Byun, Jooeun Kim +2
While many real-world data streams imply that they change frequently in a nonstationary way, most of deep learning methods optimize neural networks on training data, and this leads…
eess.AS2019
Speech Emotion Recognition Using Multi-hop Attention Mechanism
Seunghyun Yoon, Seokhyun Byun, Subhadeep Dey +1
In this paper, we are interested in exploiting textual and acoustic data of an utterance for the speech emotion classification task. The baseline approach models the information fr…
cs.CL2018
Multimodal Speech Emotion Recognition Using Audio and Text
Seunghyun Yoon, Seokhyun Byun, Kyomin Jung
Speech emotion recognition is a challenging task, and extensive reliance has been placed on models that use audio features in building well-performing classifiers. In this paper, w…