The Journal of Korean Institute of Communications and Information Sciences (한국통신학회논문지)

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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A Combined Acoustic Feedback and Noise Cancellation Algorithm for Digital Hearing Aids

디지털 보청기를 위한 음향궤환 몇 잡음 제거 알고리즘

  • 이행우 (남서울대학교 정보통신공학과)
  • Received : 2010.08.24
  • Accepted : 2010.10.01
  • Published : 2010.11.30
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Abstract

This paper proposes a new algorithm to cancel the acoustic feedback and noise signals in digital hearing aids. The proposed algorithm combines the feedback canceller to remove acoustic feedback signals and the noise canceller to reduce background noises. The feedback canceller is implemented by normal adaptive FIR filter, and the noise canceller is implemented by using the Wiener solution in frequency domain. This noise canceller has the transfer function presented by the power spectral density of signals. To verify the performances of the proposed algorithm, the simulations were carried out for the system. As the results of simulations, it was proved that we can advance 10.85dB output SNR on the average for the forward path gain of 0dB, and 11.04dB output SNR on the average for the forward path gain of 6dB, in the case of using the proposed algorithm.

본 논문에서는 디지털 보청기의 음향궤환 및 장음을 제거하기 위한 새로운 알고리즘을 제안한다. 이 알고리즘은 궤환신호를 제거하기 위한 궤환제거기와 잡음신호를 감소시키기 위한 잡음제거기를 결합한 구조로 구성된다. 여기서 궤환제거기는 일반적인 적응 FIR 필터를 사용하여 구현하고 잡음제거기는 Wiener 해법을 이용하여 주파수 영역에서 구현한다. 이 잡음제거는 각 신호들의 전력 스펙트럼 밀도를 구하여 전달함수를 표현하는 것으로 이루어진다. 본 연구에서 제안한 궤환 및 잡음제거기의 성능을 검증하기 위하여 시뮬레이션 프로그램을 작성하고 모의실험을 수행하였다. 실험 결과, 제안한 적응 알고리즘을 사용하면 경로이득 0dB에서 기존의 알고리즘을 사용하는 경우보다 평균 10.85dB의 출력 SNR, 경로이득 6dB에서 평균 11.04dB의 출력 SNR을 향상시킬 수 있는 것으로 확인하였다.

Keywords

References

  1. G. Faucon, R. Le Bouquin Jeannes, "Joint system for acoustic echo cancellation and noise reduction", Proc. EUROSPEECH'95, pp.1525- 1528, September, 1995.
  2. R. Le Bouquin Jeannes, G. Faucon, B. Ayad, "How to improve acoustic echo and noise cancellation using a single talk detector", Speech Communication, Vol.20, No.3-4, pp.191 -202, 1996. https://doi.org/10.1016/S0167-6393(96)00058-1
  3. S. F. Boll, "Suppression of acoustic noise in speech using spectral subtraction", IEEE Trans. Acoust. Speech Signal Process. ASSP-27, pp.113-120, April, 1979.
  4. Y. Ephraim, D. Malah, "Speech enhancement using a minimum mean-square error short-time spectral amplitude estimator", IEEE Trans. Acoust. Speech Signal Process, Vol.32, No.6, pp.1109-1121, December, 1984. https://doi.org/10.1109/TASSP.1984.1164453
  5. R. Martin, P. Vary, "Combined acoustic echo cancellation, dereverberation, and noise reduction", Proc. 3rd Internat. Workshop on Acoustic Echo Control, pp.125-132, September, 1993.
  6. R. Martin, "Combined acoustic echo cancellation, spectral echo shaping, and noise reduction", Proc. 4th Internat. Workshop on Acoustic Echo and Noise Control, pp.48-51, June, 1995.
  7. R. Martin, S. Gustafsson, "The echo shaping approach to acoustic echo control", Speech Communication, Vol.20, No.3-4, pp.181-190, 1996. https://doi.org/10.1016/S0167-6393(96)00055-6
  8. R. Martin, P. Vary, "Combined acoustic echo control and noise reduction for hands-free telephony", Proc. EUSIPCO'1996, pp.1107- 1110, 1996.
  9. O. Cappe, "Elimination of the musical noise phenomenon with the ephraim and malah noise suppressor", IEEE Trans. Speech Audio Process, Vol.2, No.2, pp.345-349, December, 1994. https://doi.org/10.1109/89.279283
  10. R. Martin, "Spectral subtraction based on minimum statistics", Proc. EUSIPCO-94, pp.1182-1185, September, 1994.
  11. G. Doblinger, "Computationally efficient speech enhancement by spectral minima tracking in subbands", Proc. EUROSPEECH'95, Vol.2, pp.1513-1516, September, 1995.