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Direction of Arrival Estimation of Sound Sources Using Icosahedral CNNs

Direction of Arrival Estimation of Sound Sources Using Icosahedral CNNs

31 March 2022
David Diaz-Guerra
A. Miguel
J. R. Beltrán
ArXivPDFHTML

Papers citing "Direction of Arrival Estimation of Sound Sources Using Icosahedral CNNs"

4 / 4 papers shown
Title
Permutation Invariant Recurrent Neural Networks for Sound Source
  Tracking Applications
Permutation Invariant Recurrent Neural Networks for Sound Source Tracking Applications
David Diaz-Guerra
A. Politis
A. Miguel
J. R. Beltrán
Tuomas Virtanen
18
0
0
14 Jun 2023
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
174
1,104
0
27 Apr 2021
BeamLearning: an end-to-end Deep Learning approach for the angular
  localization of sound sources using raw multichannel acoustic pressure data
BeamLearning: an end-to-end Deep Learning approach for the angular localization of sound sources using raw multichannel acoustic pressure data
Hadrien Pujol
Éric Bavu
Alexandre Garcia
42
22
0
27 Apr 2021
Scattering Networks on the Sphere for Scalable and Rotationally
  Equivariant Spherical CNNs
Scattering Networks on the Sphere for Scalable and Rotationally Equivariant Spherical CNNs
Jason D. McEwen
C. Wallis
Augustine N. Mavor-Parker
31
22
0
04 Feb 2021
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