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Acoustic Room Correction for Speaker Systems Using Signal Processing Techniques

Carlsson, Niklas LU and Heingård, Hanne LU (2018) EITM01 20181
Department of Electrical and Information Technology
Abstract
Loudspeakers are used in many different applications and play a vital role in various types of entertainment and communication. To optimize the listening experience, there is a need for an adjustment process to compensate for any effects the environment might have on the loudspeaker’s performance. This thesis presents an adaptive method that utilizes an arbitrary amount of loudspeakers and microphones to calibrate an optimized sound profile for a specific room. The method proposes compensation changes to the loudspeakers combined with the possibility to further adjust the sound according to a specific user profile. Two different approaches are possible in the calibration phase, white noise calibration and tonal signal calibration. Using... (More)
Loudspeakers are used in many different applications and play a vital role in various types of entertainment and communication. To optimize the listening experience, there is a need for an adjustment process to compensate for any effects the environment might have on the loudspeaker’s performance. This thesis presents an adaptive method that utilizes an arbitrary amount of loudspeakers and microphones to calibrate an optimized sound profile for a specific room. The method proposes compensation changes to the loudspeakers combined with the possibility to further adjust the sound according to a specific user profile. Two different approaches are possible in the calibration phase, white noise calibration and tonal signal calibration. Using the proposed method, tests concluded that the sound profile was improved in both approaches. Calibrating using the white noise signal proved to be superior to using the tonal signal. The feasibility of the method is verified through a number of tests in various environments and with different setups by measuring the frequency responses in different points of interest before and after calibration. (Less)
Please use this url to cite or link to this publication:
author
Carlsson, Niklas LU and Heingård, Hanne LU
supervisor
organization
course
EITM01 20181
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Audio, Room correction, Noise, Network, MIMO
report number
LU/LTH-EIT 2018-652
language
English
id
8951212
date added to LUP
2018-06-26 08:03:13
date last changed
2018-06-26 08:03:13
@misc{8951212,
  abstract     = {{Loudspeakers are used in many different applications and play a vital role in various types of entertainment and communication. To optimize the listening experience, there is a need for an adjustment process to compensate for any effects the environment might have on the loudspeaker’s performance. This thesis presents an adaptive method that utilizes an arbitrary amount of loudspeakers and microphones to calibrate an optimized sound profile for a specific room. The method proposes compensation changes to the loudspeakers combined with the possibility to further adjust the sound according to a specific user profile. Two different approaches are possible in the calibration phase, white noise calibration and tonal signal calibration. Using the proposed method, tests concluded that the sound profile was improved in both approaches. Calibrating using the white noise signal proved to be superior to using the tonal signal. The feasibility of the method is verified through a number of tests in various environments and with different setups by measuring the frequency responses in different points of interest before and after calibration.}},
  author       = {{Carlsson, Niklas and Heingård, Hanne}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Acoustic Room Correction for Speaker Systems Using Signal Processing Techniques}},
  year         = {{2018}},
}