TY - GEN
T1 - A Fast Converge Spectral Modulation Sensitive Active Noise Control System
AU - Cheong, Kah Meng
AU - Shen, Yih Liang
AU - Chi, Tai Shih
N1 - Publisher Copyright:
© 2022 Asia-Pacific of Signal and Information Processing Association (APSIPA).
PY - 2022
Y1 - 2022
N2 - 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@ 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.
AB - 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@ 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.
UR - http://www.scopus.com/inward/record.url?scp=85146275891&partnerID=8YFLogxK
U2 - 10.23919/APSIPAASC55919.2022.9979983
DO - 10.23919/APSIPAASC55919.2022.9979983
M3 - Conference contribution
AN - SCOPUS:85146275891
T3 - Proceedings of 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022
SP - 1519
EP - 1523
BT - Proceedings of 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022
Y2 - 7 November 2022 through 10 November 2022
ER -