ETRI Journal

Electronics and Telecommunications Research Institute (한국전자통신연구원)
권호 표지
DOI QR코드

DOI QR Code

A Perceptually Motivated Active Noise Control Design and Its Psychoacoustic Analysis

  • Bao, Hua (Mobile and Wireless Group, Broadcom Corporation) ;
  • Panahi, Issa M.S. (Department of Electrical Engineering, University of Texas at Dallas)
  • Received : 2012.12.04
  • Accepted : 2013.02.16
  • Published : 2013.10.31
Download PDF
⟨ Previous Next ⟩

Abstract

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.

Keywords

References

  1. S.M. Kuo and D.R. Morgan, "Active Noise Control: A Tutorial Review," Proc. IEEE, vol. 87, no. 6, 1999, pp. 943-973. https://doi.org/10.1109/5.763310
  2. S. Haykin, Adaptive filter theory, 4th ed., Upper Saddle River, NJ: Prentice Hall, 2002.
  3. M.S. Sanders and E.J. McCormick, Human Factors in Engineering and Design, 7th ed., McGaw-Hill, 1993.
  4. H. Fastl and E. Zwicker, Psychoacoustics: Facts and Models, 3rd ed., Springer, 2006.
  5. ANSI, "American National Standard Specification for Sound Level Meters," ANSI S1.4-1983 (R2006), 2006.
  6. ITU, "Measurement of Audio-Frequency Noise Voltage Level in Sound Broadcasting," ITU-R Recommendation BS.468-4, 1986.
  7. S.M. Kuo and J. Tsai, "Residual Noise Shaping Technique for Active Noise Control Systems," J. Acoustical Soc. America, vol. 95, vol. 3, 1994, pp. 1665-1668. https://doi.org/10.1121/1.408555
  8. H. Bao and I. Panahi, "Using A-Weighting for Psychoacoustic Active Noise Control," Proc. Int. Conf. IEEE Eng. Med. Biol. Soc., Vancouver, British Columbia, Canada, 2009, pp. 5701-5704.
  9. D.R. Morgan and J.C. Thi, "A Delayless Subband Adaptive Filter Architecture," IEEE Trans. Signal Process., vol. 43, no. 8, 1995, pp. 1819-1830. https://doi.org/10.1109/78.403341
  10. H. Bao and I. Panahi, "Psychoacoustic Active Noise Control Based on Delayless Subband Adaptive Filtering," Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., Dallas, TX, USA, 2010, pp. 341-344.
  11. R. Guski, "Psychological Methods for Evaluating Sound Quality and Assessing Acoustic Information," Acta Acustica United Acustica, vol. 83, no. 5, 1997, pp. 765-774.
  12. H. Van der Auweraer, K. Wyckaert, and W. Hendricx, "From Sound Quality to the Engineering of Solutions for NVH Problems: Case Studies," Acta Acustica United Acustica, vol. 83, 1997, pp. 796-804.
  13. W. Aures, Berechnungsverfahren fur den Wohlklang beliebiger Schallsignale, ein Beitrag zur gehorbezogenen Schallanalyse, PhD thesis, Munich University, 1984.
  14. M. de Diego et al., "Subjective Evaluation of Actively Controlled Interior Car Noise," Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., vol. 5, 2001, pp. 3225-3228.
  15. H. Bao et al., "Music Injection for Subjective Speech Enhancement and the Psychoacoustic Pleasantness Analysis," Proc. Sensor, Signal Information Process. Workshop (SenSIP), Sedona, AZ, USA, May 2008.
  16. H. Bao and I. Panahi, "Psychoacoustic Active Noise Control with ITU-R 468 Noise Weighting and Its Sound Quality Analysis," 32nd Ann. Int. Conf. IEEE Eng. Med. Bio. Soc., 2010, pp. 4323-4326.
  17. H. Hassanpour and P. Davari, "An Efficient Online Secondary Path Estimation for Feedback Active Noise Control Systems," Dig. Signal Process., vol. 19, no. 2, 2009, pp. 241-249. https://doi.org/10.1016/j.dsp.2008.06.007
  18. S.J. Elliott and P.A. Nelson, "Active Noise Control," IEEE Signal Process. Mag., vol. 10, no. 4, 1993, pp. 12-35. https://doi.org/10.1109/79.248551
  19. B. Friedlander and B. Porat, "The Modified Yule-Walker Method of ARMA Spectral Estimation," IEEE Trans. Aerosp. Electron. Syst., vol. AES-20, no. 2, 1984, pp. 158-173. https://doi.org/10.1109/TAES.1984.310437
  20. ISO, "Information Technology - Multimedia Content Description Interface - Part4: Audio," ISO-IEC 15934-4 (E), 2001.
  21. A. Moelker and P.M.T. Pattynama, "Acoustic Noise Concerns in Functional Magnetic Resonance Imaging," Human Brain Mapping, vol. 20, no. 3, 2003, pp. 123-141. https://doi.org/10.1002/hbm.10134
  22. D. Tomasi et al., "fMRI-Acoustic Noise Alters Brain Activation During Working Memory Tasks," NeuroImage, vol. 27, no. 2, 2005, pp. 377-386. https://doi.org/10.1016/j.neuroimage.2005.04.010
  23. J. Chambers et al., "Developments in Active Noise Control Sound Systems for Magnetic Resonance Imaging," Appl. Acoustics, vol. 68, no. 3, 2007, pp. 281-295. https://doi.org/10.1016/j.apacoust.2005.10.008

Cited by

  1. 저주파 대역의 소음 평가 지수 개선을 위한 창문형 능동 소음 제어기 vol.37, pp.5, 2013, https://doi.org/10.7776/ask.2018.37.5.331
  2. Notes on a New Structure of Active Noise Control Systems vol.10, pp.14, 2013, https://doi.org/10.3390/app10144705