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20212025
most citedDeep learning based cough detection camera using enhanced features

38 citations · 53 across the 5 of their papers we have counts for

collaborators

5 papers

eess.AS2025

Binaural Sound Event Localization and Detection Neural Network based on HRTF Localization Cues for Humanoid Robots

Gyeong-Tae Lee

Humanoid robots require simultaneous sound event type and direction estimation for situational awareness, but conventional two-channel input struggles with elevation estimation and…

eess.AS2025

Binaural Sound Event Localization and Detection based on HRTF Cues for Humanoid Robots

Gyeong-Tae Lee, Hyeonuk Nam, Yong-Hwa Park

This paper introduces Binaural Sound Event Localization and Detection (BiSELD), a task that aims to jointly detect and localize multiple sound events using binaural audio, inspired…

eess.AS2022★ 3 cited

HRTF measurement for accurate sound localization cues

Gyeong-Tae Lee, Sang-Min Choi, Byeong-Yun Ko +1

A new database of head-related transfer functions (HRTFs) for accurate sound source localization is presented through precise measurement and post-processing in terms of improved f…

eess.AS2021★ 38 cited

Deep learning based cough detection camera using enhanced features

Gyeong-Tae Lee, Hyeonuk Nam, Seong-Hu Kim +3

Coughing is a typical symptom of COVID-19. To detect and localize coughing sounds remotely, a convolutional neural network (CNN) based deep learning model was developed in this wor…

eess.AS2021★ 12 cited

Heavily Augmented Sound Event Detection utilizing Weak Predictions

Hyeonuk Nam, Byeong-Yun Ko, Gyeong-Tae Lee +4

The performances of Sound Event Detection (SED) systems are greatly limited by the difficulty in generating large strongly labeled dataset. In this work, we used two main approache…