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Physics-informed convolutional neural network with bicubic spline
  interpolation for sound field estimation

Physics-informed convolutional neural network with bicubic spline interpolation for sound field estimation

22 July 2022
Kazuhide Shigemi
Shoichi Koyama
Tomohiko Nakamura
Hiroshi Saruwatari
ArXiv (abs)PDFHTML

Papers citing "Physics-informed convolutional neural network with bicubic spline interpolation for sound field estimation"

5 / 5 papers shown
Title
Kernel Learning For Sound Field Estimation With L1 and L2
  Regularizations
Kernel Learning For Sound Field Estimation With L1 and L2 Regularizations
Ryosuke Horiuchi
Shoichi Koyama
Juliano G. C. Ribeiro
Natsuki Ueno
Hiroshi Saruwatari
20
11
0
11 Oct 2021
Physics-informed Convolutional Neural Networks for Temperature Field
  Prediction of Heat Source Layout without Labeled Data
Physics-informed Convolutional Neural Networks for Temperature Field Prediction of Heat Source Layout without Labeled Data
Xiaoyu Zhao
Zhiqiang Gong
Yunyang Zhang
Wen Yao
Xiaoqian Chen
OODAI4CE
120
95
0
26 Sep 2021
Binaural rendering from microphone array signals of arbitrary geometry
Binaural rendering from microphone array signals of arbitrary geometry
Naoto Iijima
Shoichi Koyama
Hiroshi Saruwatari
34
12
0
15 Sep 2021
Deep Sound Field Reconstruction in Real Rooms: Introducing the ISOBEL
  Sound Field Dataset
Deep Sound Field Reconstruction in Real Rooms: Introducing the ISOBEL Sound Field Dataset
M. S. Kristoffersen
M. B. Møller
Pablo Martínez-Nuevo
Jan Østergaard
45
17
0
12 Feb 2021
Sound field reconstruction in rooms: inpainting meets super-resolution
Sound field reconstruction in rooms: inpainting meets super-resolution
Francesc Lluís
Pablo Martínez-Nuevo
M. B. Møller
S. Shepstone
47
57
0
30 Jan 2020
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