A Study on the Performance of Noise Reduction using Multi-Microphones for Digital Hearing Aids

디지털 보청기를 위한 다중 마이크로폰을 이용한 잡음제거 성능 연구

  • 강현덕 (인하대학교 전자공학과) ;
  • 송영록 (인하대학교 전자공학과 정보전자공동연구소) ;
  • 이상민 (인하대학교 전자공학과 정보전자공동연구소)
  • Received : 2010.03.03
  • Published : 2010.04.26

Abstract

In this study, we analyzed the reduction of noise in a noise environment using 2, 3, 4 or 5 microphones in digital hearing aids. In order to be able to use this in actual digital hearing aids, we made the experiment microphone set similar to the behind-the-ear type (BTE) and then recorded the signal accordingly, with each situation. With the recorded signals, we reduced the noise in each signal by a noise reduction algorithm using multi-microphones. As a result, in the case of By comparing the SNR (Signal to Noise Ratio) and PESQ (Perceptual Evaluation of Speech) measurements, before and after the noise reduction, the results showed that the improvement in performance was highest when three or four microphones were used. Generally, when two or more microphones were used, we found that as the number of microphones increased there was an increase in performance.

본 연구에서는 잡음환경에서 디지털 보청기의 잡음제거를 위해 2,3,4,5개의 마이크로폰을 이용해 잡음제거를 하고 비교 분석 하였다. 실제 디지털 보청기에서 사용할 수 있게 하기 위해 귀걸이형 (behind-the-ear type, BTE) 보청기의 형태와 유사하게 마이크로폰을 배열한 실험 세트를 구성하여 각각의 조건에 따라 신호녹음을 하였고, 녹음된 각각의 신호들을 멀티 마이크로폰을 이용한 잡음제거 알고리즘으로 잡음 제거하였다. 평가 방법에 따라 잡음제거 전과 후의 SNR (Signal to Noise Ratio)과 PESQ (Perceptual Evaluation of Speech ) 측정 분석 결과 마이크로폰 3개와 4개를 사용하였을 때 가장 높은 성능 향상을 보였으며 대부분의 경우에서 마이크로폰의 개수가 늘어남에 따라 성능이 향상된 것을 확인하였다.

Keywords

References

  1. 대한청각학회, 청각검사지침, 학지사, 2008
  2. Schaub, Digital Hearing Aids, Thieme, 2008
  3. A.M.Kondoz, Digital Speech Coding for Low Bit Rate Communication Systems Second Edition, John Wiley & Sons, 2004
  4. J. Chen, L. Shue, K. Phua, H. Sun, "Theoretical comparisons of dual microphone systems," Acoustics, Speech, and Signal Processing, Proceeding. (ICASSP '04). IEEE International Conference on., Vol. 4,pp. 63-75, May. 2004
  5. J. Bernard Widrow, J. R. Glover, J. M. McCool, J. Kaunitz, C. S.Williams, R. H. Hearn, J. James R. Zeidler, E. Dong, and R. C. Goodlin, "Adaptive noise cancelling: principles applications," Proceeding of the IEEE., Vol. 63, No. 12, pp. 1692-1716, Dec. 1975. https://doi.org/10.1109/PROC.1975.10036
  6. L. Krasny, and S. Oraintara, "Voice activity detector for microphone array processing in hand-free systems," Sensor Array and Multichannel Signal Processing Workshop Proceedings., pp. 224-228, 4-6 Aug. 2002.
  7. G. W. Elko, "Adaptive noise cancellation with directional microphones," Applications of Signal Processing to Audio and Acoustics, 1997 IEEE ASSP Workshop on, pp. 4, 19-22 Oct. 1997.
  8. Lloyd J. Griffiths, Charles W. Jim, "An alternative approach to linearly constrained adaptive beamforming", IEEE Transactions on antennas and propagation, Vol. AP-30, No. 1, January 1982
  9. Suck-Yoon Hwang, Sung-Kyu Choi, "The Study on Comparison of Deduction Effects for Rear Background Noise between Dual and Triple Microphone Array", Journal of Speech-Language & Hearing Disorders, Vol. 16, No. 1, pp. 165-174, 2007 https://doi.org/10.15724/jslhd.2007.16.1.010
  10. Y. C. Lee, J. H. Kwak, S. S. Ahn, "Improved Speech Enhancement Algorithm employing Multi-band Power Subtraction and Wavelet Packets Decomposition," 통신학회논문지., Vol. 31, No. 6C, pp. 589-602, Jun. 2006.
  11. Dong-hyeouck Bang, Se-kee Kil, Hyun-deok Kang, Gwang-sub Yoon, Sang-min Lee, "Noise cancellation using microphone array in digital hearing aids", Trans. KIEE, Vol 58, No 4, 2009
  12. http://spib.rice.edu/spib/select_noise.html, Rice Univ. DSP group homepage.
  13. Simon Dolco, Marc Moonen, "GSVD-Based Optimal Filtering for Single and Multimicrophone Speech Enhancement", IEEE Transactions on signal processing, Vol.50, No.9, September 2002
  14. ITU-T P.862, "Perceptual evaluation of speech quality(PESQ), an objective method for end-to-end speech quality assessment of narrow-band telephone networks and speech codecs," 2001.
  15. 정옥조, 강신각, "VoIP 통화품질 표준기술 동향", 정보통신기술협회(TTA) 저널, 제92호, 2004.
  16. 박미라, 이재원, EXCEL을 이용한 의학데이터의 통계분석, 자유아카데미, 2002