4 papers
Frequency Dynamic Convolutions for Sound Event Detection
Hyeonuk Nam
Recent research in deep learning-based Sound Event Detection (SED) has primarily focused on Convolutional Recurrent Neural Networks (CRNNs) and Transformer models. However, convent…
Temporal Attention Pooling for Frequency Dynamic Convolution in Sound Event Detection
Hyeonuk Nam, Yong-Hwa Park
Recent advances in deep learning, particularly frequency dynamic convolution (FDY conv), have significantly improved sound event detection (SED) by enabling frequency-adaptive feat…
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…
VIFS: An End-to-End Variational Inference for Foley Sound Synthesis
Junhyeok Lee, Hyeonuk Nam, Yong-Hwa Park
The goal of DCASE 2023 Challenge Task 7 is to generate various sound clips for Foley sound synthesis (FSS) by "category-to-sound" approach. "Category" is expressed by a single inde…