Spatial mixup: Directional loudness modification as data augmentation for sound event localization and detection

Ricardo Falcon-Perez, Kazuki Shimada, Yuichiro Koyama +2

Data augmentation methods have shown great importance in diverse supervised learning problems where labeled data is scarce or costly to obtain. For sound event localization and det…