Robust Acoustic Contrast Control with Reduced In-situ Measurement by Acoustic Modeling
×
Cite This
Citation & Abstract
Q. Zhu, P. Coleman, M. Wu, and J. Yang, "Robust Acoustic Contrast Control with Reduced In-situ Measurement by Acoustic Modeling," J. Audio Eng. Soc., vol. 65, no. 6, pp. 460-473, (2017 June.). doi: https://doi.org/10.17743/jaes.2017.0016
Q. Zhu, P. Coleman, M. Wu, and J. Yang, "Robust Acoustic Contrast Control with Reduced In-situ Measurement by Acoustic Modeling," J. Audio Eng. Soc., vol. 65 Issue 6 pp. 460-473, (2017 June.). doi: https://doi.org/10.17743/jaes.2017.0016
Abstract: Personal audio systems generate a local sound field for a listener while attenuating the sound energy in predefined quiet zones. In practice, system performance is sensitive to errors in the acoustic transfer functions between the sources and the zones. In this paper, a design framework for robust reproduction is proposed that combines transfer functions and error modeling. The framework allows a physical perspective on the regularization required for a system that is based on there being a bound on the assumed additive or multiplicative errors, which is obtained by acoustic modeling. Acoustic contrast control is separately combined with worst-case and probability-model optimization, exploiting limited knowledge of the potential error distribution. Monte-Carlo simulations show that these approaches give increased system robustness compared to the state-of-the-art approaches for regularization parameter estimation. Experimental results verify that robust sound zone control can be achieved in the presence of loudspeaker gain errors. In addition, to simplify the approach, in-situ transfer function measurements were reduced to a single measurement per loudspeaker per zone with limited acoustic contrast degradation of less than 2 dB over 100–3000 Hz compared to the fully measured regularized case.
@article{zhu2017robust,
author={zhu, qiaoxi and coleman, philip and wu, ming and yang, jun},
journal={journal of the audio engineering society},
title={robust acoustic contrast control with reduced in-situ measurement by acoustic modeling},
year={2017},
volume={65},
number={6},
pages={460-473},
doi={https://doi.org/10.17743/jaes.2017.0016},
month={june},}
@article{zhu2017robust,
author={zhu, qiaoxi and coleman, philip and wu, ming and yang, jun},
journal={journal of the audio engineering society},
title={robust acoustic contrast control with reduced in-situ measurement by acoustic modeling},
year={2017},
volume={65},
number={6},
pages={460-473},
doi={https://doi.org/10.17743/jaes.2017.0016},
month={june},
abstract={personal audio systems generate a local sound field for a listener while attenuating the sound energy in predefined quiet zones. in practice, system performance is sensitive to errors in the acoustic transfer functions between the sources and the zones. in this paper, a design framework for robust reproduction is proposed that combines transfer functions and error modeling. the framework allows a physical perspective on the regularization required for a system that is based on there being a bound on the assumed additive or multiplicative errors, which is obtained by acoustic modeling. acoustic contrast control is separately combined with worst-case and probability-model optimization, exploiting limited knowledge of the potential error distribution. monte-carlo simulations show that these approaches give increased system robustness compared to the state-of-the-art approaches for regularization parameter estimation. experimental results verify that robust sound zone control can be achieved in the presence of loudspeaker gain errors. in addition, to simplify the approach, in-situ transfer function measurements were reduced to a single measurement per loudspeaker per zone with limited acoustic contrast degradation of less than 2 db over 100–3000 hz compared to the fully measured regularized case.},}
TY - paper
TI - Robust Acoustic Contrast Control with Reduced In-situ Measurement by Acoustic Modeling
SP - 460
EP - 473
AU - Zhu, Qiaoxi
AU - Coleman, Philip
AU - Wu, Ming
AU - Yang, Jun
PY - 2017
JO - Journal of the Audio Engineering Society
IS - 6
VO - 65
VL - 65
Y1 - June 2017
TY - paper
TI - Robust Acoustic Contrast Control with Reduced In-situ Measurement by Acoustic Modeling
SP - 460
EP - 473
AU - Zhu, Qiaoxi
AU - Coleman, Philip
AU - Wu, Ming
AU - Yang, Jun
PY - 2017
JO - Journal of the Audio Engineering Society
IS - 6
VO - 65
VL - 65
Y1 - June 2017
AB - Personal audio systems generate a local sound field for a listener while attenuating the sound energy in predefined quiet zones. In practice, system performance is sensitive to errors in the acoustic transfer functions between the sources and the zones. In this paper, a design framework for robust reproduction is proposed that combines transfer functions and error modeling. The framework allows a physical perspective on the regularization required for a system that is based on there being a bound on the assumed additive or multiplicative errors, which is obtained by acoustic modeling. Acoustic contrast control is separately combined with worst-case and probability-model optimization, exploiting limited knowledge of the potential error distribution. Monte-Carlo simulations show that these approaches give increased system robustness compared to the state-of-the-art approaches for regularization parameter estimation. Experimental results verify that robust sound zone control can be achieved in the presence of loudspeaker gain errors. In addition, to simplify the approach, in-situ transfer function measurements were reduced to a single measurement per loudspeaker per zone with limited acoustic contrast degradation of less than 2 dB over 100–3000 Hz compared to the fully measured regularized case.
Personal audio systems generate a local sound field for a listener while attenuating the sound energy in predefined quiet zones. In practice, system performance is sensitive to errors in the acoustic transfer functions between the sources and the zones. In this paper, a design framework for robust reproduction is proposed that combines transfer functions and error modeling. The framework allows a physical perspective on the regularization required for a system that is based on there being a bound on the assumed additive or multiplicative errors, which is obtained by acoustic modeling. Acoustic contrast control is separately combined with worst-case and probability-model optimization, exploiting limited knowledge of the potential error distribution. Monte-Carlo simulations show that these approaches give increased system robustness compared to the state-of-the-art approaches for regularization parameter estimation. Experimental results verify that robust sound zone control can be achieved in the presence of loudspeaker gain errors. In addition, to simplify the approach, in-situ transfer function measurements were reduced to a single measurement per loudspeaker per zone with limited acoustic contrast degradation of less than 2 dB over 100–3000 Hz compared to the fully measured regularized case.
Open Access
Authors:
Zhu, Qiaoxi; Coleman, Philip; Wu, Ming; Yang, Jun
Affiliations:
Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, Surrey, UK(See document for exact affiliation information.) JAES Volume 65 Issue 6 pp. 460-473; June 2017
Publication Date:
June 27, 2017Import into BibTeX
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=18779