4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.SD2022★ 4 cited
Physics-informed convolutional neural network with bicubic spline interpolation for sound field estimation
Kazuhide Shigemi, Shoichi Koyama, Tomohiko Nakamura +1
A sound field estimation method based on a physics-informed convolutional neural network (PICNN) using spline interpolation is proposed. Most of the sound field estimation methods…
cs.SD2021
Spatial Data Augmentation with Simulated Room Impulse Responses for Sound Event Localization and Detection
Yuichiro Koyama, Kazuhide Shigemi, Masafumi Takahashi +5
Recording and annotating real sound events for a sound event localization and detection (SELD) task is time consuming, and data augmentation techniques are often favored when the a…