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An Acoustic Feedback Canceller for Hearing Aids Using Improved Orthogonal Projection Algorithm

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초록

This paper is on an improved orthogonal projection method which can cancel the acoustic feedback signals in the digital hearing aids. Comparing with the NLMS algorithm which is widely used for simplicity and stability, it shows that this method has the improvement of the convergence performances, and has small computational quantities, for signals with the large auto­correlation as speech signals. This uses the improved orthogonal projection algorithm which reduces the correlation of signals. To verify the convergence characteristics of the proposed algorithm, we simulated about various input signals. The acoustic feedback canceller has a 12­bit resolution with 64­tap adaptive FIR filter. And we compared the results of simulation for this algorithm with the ones for the NLMS algorithm. By these works, it is proved that the feedback canceller adopting the proposed algorithm shows about 3.5dB more high SNR than the NLMS algorithm in the colored input signals.

Abstract

This paper is on an improved orthogonal projection method which can cancel the acoustic feedback signals in the digital hearing aids. Comparing with the NLMS algorithm which is widely used for simplicity and stability, it shows that this method has the improvement of the convergence performances, and has small computational quantities, for signals with the large auto­correlation as speech signals. This uses the improved orthogonal projection algorithm which reduces the correlation of signals. To verify the convergence characteristics of the proposed algorithm, we simulated about various input signals. The acoustic feedback canceller has a 12­bit resolution with 64­tap adaptive FIR filter. And we compared the results of simulation for this algorithm with the ones for the NLMS algorithm. By these works, it is proved that the feedback canceller adopting the proposed algorithm shows about 3.5dB more high SNR than the NLMS algorithm in the colored input signals.

참고문헌 (15)

  1. D. K. Bustamante, "Measurement and adaptive suppression of acoustic feedback in hearing aids", Proc. ICASSP, 89, pp.2017~2020 (1989)
  2. 신승우, "다채널 처리 보청기에서의 음향 궤환 제거", 한국음향학회학술발표대회 논문집, 17(1), pp.179~182 (1998)
  3. J. M. Kates, "Feedback cancellation in hearing aids : results from a computer simulation", IEEE Trans. Signal Process, 39(3), pp.553~562 (1991)
  4. J. A. Maxwell, "Reducing acoustic feedback in hearing aids", IEEE Trans., Speech Audio Processing, 3(4), pp.304~313 (1995)
  5. 김대경, "보청기에서의 적응궤환제거의 성능 향상", 한국음향학회지, 18(4), pp.38~46 (1999)
  6. Kaoru Furosawa, "A geometric interpretation of adaptive algorithms", GLOBECOM, 87, pp.49~47 (1987)
  7. F. Capman, "Acoustic echo cancellation using a fast QRRLS algorithm and multirate schemes", in Proc. IEEE Int. Conf. Acoust. Speech Signal Processing, pp.969~972 (1995)
  8. Kazuhiko Ozeki, "An adaptive filtering algorithm using an orthogonal projection to an affine subspace and its properties", Electronics and Communication in Japan, 67(5), pp.19~27 (1984)
  9. S. L. Gay, "The fast affine projection algorithm", in Proc. IEEE Int. Conf. Acoust. Speech Signal Processing, pp.3023~3026 (1995)
  10. S. G. Kratzer, "The partialrank algorithm for adaptive beamforming", in Proc. SPIE Int. Soc. Opt. Eng, 564, pp.9~14 (1985)
  11. M. Rupp, "A family of adaptive filter algorithms with decorrelating properties", IEEE Trans. Signal Processing, 46, pp.771~775 (1998)
  12. S. G. Sankaran, "Normalized LMS algorithm with orthogonal correction factors", in Proc. 31st Annu. Asilomar Conf. Signals, Syst., Comput, pp.1670~1673 (1997)
  13. 조범석, "잡음제거를 위한 하이브리드 필터", (사)디지털산업정보학회 논문지, 7(4), pp.133~139 (2011), (사)디지털산업정보학회
  14. Kaoru Furosawa, "A geometric interpretation of adaptive algorithms", GLOBECOM, 87, pp.49~47 (1987)
  15. M. G. Siqueira, "Steadystate analysis of continuous adaptation in acoustic feedback reduction system for hearingaids", IEEE Trans. Speech Audio Processing, 8(4), pp.443~453 (2000)

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