2 citations · 2 across the 5 of their papers we have counts for
5 papers
3D Room Geometry Inference from Multichannel Room Impulse Response using Deep Neural Network
Inmo Yeon, Jung-Woo Choi
Room geometry inference (RGI) aims at estimating room shapes from measured room impulse responses (RIRs) and has received lots of attention for its importance in environment-aware…
Noisy-ArcMix: Additive Noisy Angular Margin Loss Combined With Mixup Anomalous Sound Detection
Soonhyeon Choi, Jung-Woo Choi
Unsupervised anomalous sound detection (ASD) aims to identify anomalous sounds by learning the features of normal operational sounds and sensing their deviations. Recent approaches…
Divided spectro-temporal attention for sound event localization and detection in real scenes for DCASE2023 challenge
Yusun Shul, Byeong-Yun Ko, Jung-Woo Choi
Localizing sounds and detecting events in different room environments is a difficult task, mainly due to the wide range of reflections and reverberations. When training neural netw…
Sound-based drone fault classification using multitask learning
Wonjun Yi, Jung-Woo Choi, Jae-Woo Lee
The drone has been used for various purposes, including military applications, aerial photography, and pesticide spraying. However, the drone is vulnerable to external disturbances…
On-site Noise Exposure technique for noise-robust machine fault classification
Wonjun Yi, Jung-Woo Choi
In-situ classification of faulty sounds is an important issue in machine health monitoring and diagnosis. However, in a noisy environment such as a factory, machine sound is always…