1 citations · 5 across the 8 of their papers we have counts for
8 papers
DNN based HRIRs Identification with a Continuously Rotating Speaker Array
Byeong-Yun Ko, Deokki Min, Hyeonuk Nam +1
Conventional static measurement of head-related impulse responses (HRIRs) is time-consuming due to the need for repositioning a speaker array for each azimuth angle. Dynamic approa…
Towards Understanding of Frequency Dependence on Sound Event Detection
Hyeonuk Nam, Seong-Hu Kim, Deokki Min +2
In this work, we conduct an in-depth analysis of two frequency-dependent methods for sound event detection (SED): FilterAugment and frequency dynamic convolution (FDY conv). The go…
Diversifying and Expanding Frequency-Adaptive Convolution Kernels for Sound Event Detection
Hyeonuk Nam, Seong-Hu Kim, Deokki Min +2
Frequency dynamic convolution (FDY conv) has shown the state-of-the-art performance in sound event detection (SED) using frequency-adaptive kernels obtained by frequency-varying co…
Self Training and Ensembling Frequency Dependent Networks with Coarse Prediction Pooling and Sound Event Bounding Boxes
Hyeonuk Nam, Deokki Min, Seungdeok Choi +2
To tackle sound event detection (SED), we propose frequency dependent networks (FreDNets), which heavily leverage frequency-dependent methods. We apply frequency warping and Filter…
Auditory Neural Response Inspired Sound Event Detection Based on Spectro-temporal Receptive Field
Deokki Min, Hyeonuk Nam, Yong-Hwa Park
Sound event detection (SED) is one of tasks to automate function by human auditory system which listens and understands auditory scenes. Therefore, we were inspired to make SED rec…
Frequency & Channel Attention for Computationally Efficient Sound Event Detection
Hyeonuk Nam, Seong-Hu Kim, Deokki Min +1
We explore on various attention methods on frequency and channel dimensions for sound event detection (SED) in order to enhance performance with minimal increase in computational c…
Data Augmentation and Squeeze-and-Excitation Network on Multiple Dimension for Sound Event Localization and Detection in Real Scenes
Byeong-Yun Ko, Hyeonuk Nam, Seong-Hu Kim +3
Performance of sound event localization and detection (SELD) in real scenes is limited by small size of SELD dataset, due to difficulty in obtaining sufficient amount of realistic…
Frequency Dependent Sound Event Detection for DCASE 2022 Challenge Task 4
Hyeonuk Nam, Seong-Hu Kim, Deokki Min +3
While many deep learning methods on other domains have been applied to sound event detection (SED), differences between original domains of the methods and SED have not been approp…