Article,
Sound source localization using multiple ad hoc distributed microphone arrays
Contributors
Hahmann, Manuel
0000-0001-7325-3584
(Corresponding author)
[1]
Fernandez-Grande, Efren
0000-0002-8900-183X
[2]
Gerstoft, Peter
0000-0002-0471-062X
[1]
Affiliations
- [1] University of California, San Diego [NORA names: United States; America, North; OECD];
- [2] Technical University of Denmark [NORA names: DTU Technical University of Denmark; University; Denmark; Europe, EU; Nordic; OECD]
Abstract
Sound source localization is crucial for communication and sound scene analysis. This study uses direction-of-arrival estimates of multiple ad hoc distributed microphone arrays to localize sound sources in a room. An affine mapping between the independent array estimates and the source coordinates is derived from a set of calibration points. Experiments show that the affine model is sufficient to locate a source and can be calibrated to physical dimensions. A projection of the local array estimates increases localization accuracy, particularly further away from the calibrated region. Localization tests in three dimensions compare the affine approach to a nonlinear neural network.
Keywords
accuracy,
ad hoc,
affine maps,
affine model,
affinity,
affinity approach,
analysis,
approach,
array,
array estimation,
calibration,
calibration points,
calibration region,
communication,
coordination,
dimensions,
direction-of-arrival estimation,
estimation,
experiments,
hoc,
increase localization accuracy,
local tests,
localization,
localization accuracy,
localize sound sources,
maps,
microphone,
microphone array,
model,
network,
neural network,
nonlinear neural network,
physical dimensions,
point,
project,
region,
room,
scene analysis,
sound scene analysis,
sound source localization,
sound sources,
source,
source coordinates,
source localization,
study,
test
