10 citations · 13 across the 4 of their papers we have counts for
5 papers
Segmental Posterior Decoding for Audio Moment Retrieval
Seungdeok Choi, Seongmin Choi, Inhan Choi +3
Audio moment retrieval (AMR) identifies temporal segments in long recordings that best match a free-form text query. Existing systems largely rely on fixed-slot DETR decoders that…
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…
Task-Equivariant Graph Few-shot Learning
Sungwon Kim, Junseok Lee, Namkyeong Lee +3
Although Graph Neural Networks (GNNs) have been successful in node classification tasks, their performance heavily relies on the availability of a sufficient number of labeled node…
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…