Acoustic Room Correction for Speaker Systems Using Signal Processing Techniques

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.