Byeonggeun Kim

Broadcasted Residual Learning for Efficient Keyword Spotting

Byeonggeun Kim, Simyung Chang, Jinkyu Lee et al. · 2021 · 87 citations

Convolutional Neural Network, Engineering, Machine Learning +16

QTI Submission to DCASE 2021: residual normalization for device-imbalanced acoustic scene classification with efficient design

Byeonggeun Kim, Seung-Han Yang, Jangho Kim et al. · arXiv (Cornell University) · 2022 · 27 citations · Full text

Instance Normalization, Convolutional Neural Network, Engineering +23

TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation

Hyesu Lim, Byeonggeun Kim, Jaegul Choo et al. · arXiv (Cornell University) · 2023 · 21 citations · Full text

Transductive Batch Normalization, Engineering, Machine Learning +13

Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting

Byeonggeun Kim, Seung-Han Yang, Inseop Chung et al. · Interspeech 2022 · 2022 · 13 citations

Personalized Keyword Spotting through Multi-task Learning

Seung-Han Yang, Byeonggeun Kim, Inseop Chung et al. · Interspeech 2022 · 2022 · 11 citations