A Fast Converge Spectral Modulation Sensitive Active Noise Control System

Abstract

Psychoacoustic active noise control (PANC) systems have been proposed to improve the noise reduction performance of active noise control (ANC) systems by considering hearing properties. PANC systems are usually implemented in the filtered@ $\mathbf{x}$ least mean square (FxLMS) architecture. In this paper, we propose a PANC system using a simple and stable fast affine projection (FAP) algorithm in the filtered-x architecture, namely the filtered-x conjugate gradient fast affine projection (FxCGFAP) PANC. The proposed FxCGFAP PANC system converges faster than typical FxLMS ANC and PANC systems. The proposed PANC system considers not only the sensitivity of human hearing to frequency but also the sensitivity to spectral modulation. Objective and subjective evaluations have been conducted. The evaluation results show that the proposed system outperforms the other three systems in terms of objective loudness scores and subjective ratings. The proposed system has been implemented on the Tensilica HiFi3 DSP platform with the fixed-point data format.