Evaluation of Acoustic Feedback Cancellation Methods with Multiple Feedback Paths

Bruno Bispo, Diamantino Freitas

Abstract

Acoustic feedback limits the maximum stable gain of a public address system and may cause the system to become unstable. Acoustic feedback cancellation methods use an adaptive filter to identify the impulse response of the acoustic feedback path and then remove its influence from the system. However, if the traditional adaptive filtering algorithms are used, a bias is introduced in the estimate of the acoustic feedback path obtained by the adaptive filter. Several methods have been proposed to overcome the bias problem but they are generally evaluated considering a public address system with only one microphone and one loudspeaker. This work evaluates some of the state-of-art methods considering a public address system with one microphone and four loudspeakers that results in multiple feedback paths and corresponds to a more realistic scenario of a typical system. Simulation results demonstrated that, with multiple feedback paths, the acoustic feedback cancellation methods are able to increase in 12 dB the maximum stable gain of the public address system when the source signal is speech.

References

  1. ANSI (1997). ANSI S3.5: American national standard methods for calculation of the speech intelligibility index. American National Standard Institute.
  2. Bispo, B. C., Rodrigues, P. M. L., and da S. Freitas, D. R. (2013). Acoustic feedback cancellation based on cepstral analysis. In Proceedings of 17th IEEE Conference on Signal Processing Algorithms, Architectures, Arrangements and Applications, pages 205-209, Poznan, Poland.
  3. Das, R. L. and Chakraborty, M. (2012). Sparse adaptive filters - an overview and some new results. In Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, pages 2745-2748, Seoul, Soutjh Korea.
  4. Hellgren, J. and Forssell, U. (2001). Bias of feedback cancellation algorithms in hearing aids based on direct closed loop identification. IEEE Transactions on Speech and Audio Processing, 9(7):906-913.
  5. Jeub, M., Schäfer, M., and Vary, P. (2009). A binaural room impulse response database for the evaluation of dereverberation algorithms. In Proc. International Conference on Digital Signal Processing, Santorini, Greece.
  6. Rombouts, G., van Waterschoot, T., Struyve, K., and Moonen, M. (2006). Acoustic feedback cancellation for long acoustic paths using a nonstationary source model. IEEE Transactions on Signal Processing, 54(9):3426-3434.
  7. Siqueira, M. G. and Alwan, A. (2000). Steady-state analysis of continuous adaptation in acoustic feedback reduction systems for hearing-aids. IEEE Transactions on Speech and Audio Processing, 8(4):443-453.
  8. van Waterschoot, T. and Moonen, M. (2011). Fifty years of acoustic feedback control: state of the art and future challenges. Proceedings of the IEEE, 99(2):288-327.
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Paper Citation


in Harvard Style

Bispo B. and Freitas D. (2014). Evaluation of Acoustic Feedback Cancellation Methods with Multiple Feedback Paths . In Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2014) ISBN 978-989-758-046-8, pages 127-133. DOI: 10.5220/0005068201270133


in Bibtex Style

@conference{sigmap14,
author={Bruno Bispo and Diamantino Freitas},
title={Evaluation of Acoustic Feedback Cancellation Methods with Multiple Feedback Paths},
booktitle={Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2014)},
year={2014},
pages={127-133},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005068201270133},
isbn={978-989-758-046-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2014)
TI - Evaluation of Acoustic Feedback Cancellation Methods with Multiple Feedback Paths
SN - 978-989-758-046-8
AU - Bispo B.
AU - Freitas D.
PY - 2014
SP - 127
EP - 133
DO - 10.5220/0005068201270133