Browse > Article
http://dx.doi.org/10.7776/ASK.2010.29.6.402

A New Integrated Suppression Algorithm Based on Combined Power of Acoustic Echo and Background Noise  

Park, Yun-Sik (인하대학교 전자공학부)
Chang, Joon-Hyuk (인하대학교 전자공학부)
Publication Information
The Journal of the Acoustical Society of Korea / v.29, no.6, 2010 , pp. 402-409 More about this Journal
Abstract
In this paper, we propose an efficient integrated suppression algorithm based on combined power of acoustic echo and background noise. The proposed method combines the acoustic echo and noise power by the weighting parameter derived from the decision rule based on the estimated echo to noise power ratio. Therefore, in the proposed approach, the acoustic echo and noise signal are able to be reduced through only one suppression filter based on the estimated combined power. The proposed unified structure improves the problems of the residual echo and noise resulted from the conventional unified structure where the noise suppression (NS) operation is placed after the acoustic echo suppression (AES) algorithm or vice versa. The performance of the proposed algorithm is evaluated by the objective test under various environments and yields better results compared with the conventional scheme.
Keywords
Acoustic Echo Suppression; Noise Suppression;
Citations & Related Records
연도 인용수 순위
  • Reference
1 S. Gustalsson, R. Martin, and P. Vary, "Combined acoustic echo control and noise reduction for hands-free telephony," Signal Processíng, vol. 64, no. 1, pp. 21-32, 1998.   DOI   ScienceOn
2 D. Malah, R. Cox, and A. Accardi, "Tracking speech-presence uncertainty to improve speech enhancement in non-stationary noise environments," Proc. IEEE ICASSP 1999, pp. 789-792
3 S. Y. Lee and N. S. Kim, "A statistical model based residual echo suppression," IEEE Signal Processing Letters, vol. 14, no. 10, pp. 758-761, Oct. 2007.   DOI
4 A model for room acoustics, http://2pi.us/rir.html, 2003.
5 Md.J. Alam, D. O'Shaughnessy, S.A. Selouani, "Speech enhancement based on novel two-step a priori SNR estimators," INTERSPEECH 2008, pp. 565-568.
6 N. S. Kim, J.-H. Chang, "Spectral enhancement based on global soft decision," IEEE Signal Processing Letters, vol. 7. no. 5. pp. 108-110, May 2000.   DOI   ScienceOn
7 J-H. Chang, H. G. Kim, and S. Kim, "Residual echo reduction based on MMSE estimator in acoustic echo canceller,'' IElCE Electronic Express, vol. 4, no. 24, pp. 762-767, 2007.   DOI
8 Y. Ephraim and D. Malah, "Speech enhancement using a minimum mean-square error short-time spectral amplitude estimator," IEEE Trans. Acoust., Speech, Signal Process., vol. ASSP-32, no. 6, pp. 1109-1121, 1984.
9 TIA/EIA/IS-127, Enhanced Variable Rate Codec, Speech Service Option 3 for Wideband Spread Spectrum Digital Systems, 1996.
10 C. Failer and J. Chen, "Suppressing acoustic echo in a spectral envelope space," IEEE Trans. Speech Audio Process., vol. 13, no. 5, pp. 1048-1062, 2005.
11 P. Dreiseitel, E. Hansler, and H. Puder, "Acoustic echo and noise control-a long lasting challenge," Proc. EUSIPCO, pp. 945-952, Sep. 1998.
12 C. Faller and C. Tournery, "Robust echo control using a simple echo path model," Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing, 2006, vol. 5, pp. V281-V284.
13 S. J. Park, C. G. Cho, C. Lee, and D. H. Youn, "Integrated echo and noise canceler for hands-free applications, " IEEE Trans. on Circuits and Systems II. vol. 49, issue 3, pp. 186-195, 2002.
14 Y. Guelou, A. Benamar, and P. Scalart, "Analysis of two structures for combined acoustic echo cancellation and noise reduclion," IEEE ICASSP, vol. 2, pp.637-640, 1996.
15 H. Puder and P. Dreiseitel. "Implementation of a hands-free car phone with echo cancellation and noise-dependent loss control," Proc. IEEE Int. Conf. Acousfics, Speech, and Signal Processing, vol. 6, pp. 3622-3625, 2000.