Open AccessA Perceptually Motivated Active Noise Control Design and Its Psychoacoustic Analysis
Author(s) -
Bao Hua,
Panahi Issa M.S.
Publication year - 2013
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.13.0112.0822
Subject(s) - psychoacoustics , sound quality , noise (video) , loudness , a weighting , computer science , speech recognition , noise measurement , noise control , weighting , acoustics , engineering , artificial intelligence , perception , noise reduction , computer vision , psychology , physics , neuroscience , image (mathematics)
The active noise control (ANC) technique attenuates acoustic noise in a flexible and effective way. Traditional ANC design aims to minimize the residual noise energy, which is indiscriminative in the frequency domain. However, human hearing perception exhibits selective sensitivity for different frequency ranges. In this paper, we aim to improve the noise attenuation performance in perceptual perspective by incorporating noise weighting into ANC design. We also introduce psychoacoustic analysis to evaluate the sound quality of the residual noise by using a predictive pleasantness model, which combines four psychoacoustic parameters: loudness, sharpness, roughness, and tonality. Simulations on synthetic random noise and realistic noise show that our method improves the sound quality and that ITU‐R 468 noise weighting even performs better than A‐weighting.