Effectiveness of Active Noise Control System for Nonstationary Noise in Consideration of Psychoacoustic Properties

The conventional Active noise control (ANC) system obtains the greatest noise reduction around the error microphone and minimizes the mean square error signal. However, the impression of auditory sensation may sometimes be less than the numerical value when a person actually listens to noise with ANC. This is because of the complicated characteristic of psychoacoustic properties. The noise control filter optimized based on the mean square error (conventional ANC) does not necessarily give optimal results for the human auditory system. To mitigate this problem, ANC systems considering psychoacoustic properties have been proposed and their effectiveness has also been demonstrated for magnetic resonance imaging (MRI) noise and synthesized random noise. In this ANC system, noise weighting is incorporated into the conventional ANC structure. In this paper, we examine the effectiveness of the ANC system considering psychoacoustic properties based on A weighting and lTV-R 468 noise weighting for nonstationary noise through some experimental results and a subjective evaluation.