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Sound Source Distance Estimation Using Sound Frequency Attenuation

Johnsson, Frida LU and Oldfeldt, Gillis (2023) EITM01 20222
Department of Electrical and Information Technology
Abstract
Estimating the distance between a sound source and receiver is an important
problem. This thesis explores the possibility of estimating distance from a sound
source using the attenuations regarding different frequencies over a distance.
This method can be useful in cases where currently existing distance approxima-
tion methods are not an option. We aimed to use an image recognition convolu-
tional neural network, alongside a widely used feature extraction tool in sound
analysis called Mel Frequency Cepstral Coefficients to create a model that can
use frequency attenuation for sound source distance estimation. Our goal is to
perform a pilot study, hoping for an accuracy within a few meters. The final
model in this project has an... (More)
Estimating the distance between a sound source and receiver is an important
problem. This thesis explores the possibility of estimating distance from a sound
source using the attenuations regarding different frequencies over a distance.
This method can be useful in cases where currently existing distance approxima-
tion methods are not an option. We aimed to use an image recognition convolu-
tional neural network, alongside a widely used feature extraction tool in sound
analysis called Mel Frequency Cepstral Coefficients to create a model that can
use frequency attenuation for sound source distance estimation. Our goal is to
perform a pilot study, hoping for an accuracy within a few meters. The final
model in this project has an accuracy within a few meters when tested indoors
with little ambient noise. The model is limited in scope and has limited data, so
the results may not be reliable beyond the scope of this thesis. (Less)
Please use this url to cite or link to this publication:
author
Johnsson, Frida LU and Oldfeldt, Gillis
supervisor
organization
course
EITM01 20222
year
type
H2 - Master's Degree (Two Years)
subject
report number
LU/LTH-EIT 2023-906
language
English
id
9104601
date added to LUP
2023-01-23 09:54:45
date last changed
2023-01-23 09:54:45
@misc{9104601,
  abstract     = {{Estimating the distance between a sound source and receiver is an important
problem. This thesis explores the possibility of estimating distance from a sound
source using the attenuations regarding different frequencies over a distance.
This method can be useful in cases where currently existing distance approxima-
tion methods are not an option. We aimed to use an image recognition convolu-
tional neural network, alongside a widely used feature extraction tool in sound
analysis called Mel Frequency Cepstral Coefficients to create a model that can
use frequency attenuation for sound source distance estimation. Our goal is to
perform a pilot study, hoping for an accuracy within a few meters. The final
model in this project has an accuracy within a few meters when tested indoors
with little ambient noise. The model is limited in scope and has limited data, so
the results may not be reliable beyond the scope of this thesis.}},
  author       = {{Johnsson, Frida and Oldfeldt, Gillis}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Sound Source Distance Estimation Using Sound Frequency Attenuation}},
  year         = {{2023}},
}