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스테레오 음향반향제거기의 BSS 후처리방법

Post Processing using Blind Signal Separation in Stereo Acoustic Echo Canceller

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초록

This paper is on a stereo acoustic echo canceller with the blind signal separation for postprocessing. The convergence speed of the stereo acoustic echo canceller is deteriorated due tomixing two residual signals which are update signals of each echo canceller. To solve thisproblem, we are to use the blind signal separation(BSS) method separating the mixed signalsafter the echo cancellers. The blind signal separation method can extracts the source signalsby means of the iterative computations with two input signals. We had verifiedperformances of the proposed acoustic echo canceller for stereo through simulations. Theresults of simulations show that the acoustic echo canceller for stereo using this algorithmoperates stably without divergence in the normal state. And, when the speech signals wereinputted, this echo canceller achieved about 2dB higher ERLE with the BSS post processingmethod than without this method. This stereo echo canceller showed the best performance inthe case of inputting the real voice signal.

Abstract

This paper is on a stereo acoustic echo canceller with the blind signal separation for postprocessing. The convergence speed of the stereo acoustic echo canceller is deteriorated due tomixing two residual signals which are update signals of each echo canceller. To solve thisproblem, we are to use the blind signal separation(BSS) method separating the mixed signalsafter the echo cancellers. The blind signal separation method can extracts the source signalsby means of the iterative computations with two input signals. We had verifiedperformances of the proposed acoustic echo canceller for stereo through simulations. Theresults of simulations show that the acoustic echo canceller for stereo using this algorithmoperates stably without divergence in the normal state. And, when the speech signals wereinputted, this echo canceller achieved about 2dB higher ERLE with the BSS post processingmethod than without this method. This stereo echo canceller showed the best performance inthe case of inputting the real voice signal.

참고문헌 (8)

  1. J. Benesty, "Adaptive filtering algorithm for stereophonic acoustic echo cancelation", Proc. of Int. Conf. on Acoustic, Speech, and Signal Processing, pp.3099~3102 (1995)
  2. K. Murano, "Echo cancellation and applications", IEEE Comm. Magazine, pp.49~55 (1990)
  3. D. T. Pham, "Signal Processing VI: Theories and Applications", pp.771~774 (1992)
  4. P. Comon, "Independent component analysis, A new concept", Signal Processing, 36, pp.287~314 (1994)
  5. H. Saruwatari, "Blind Source Separation for Speech Based on Fast Convergence Algorithm with ICA and Beamforming", Proceedings of the Eurospeech 2001, pp.2603~2606 (2001)
  6. Bell A. J., "An Information Maximization Approach to Blind Separation and Blind Deconvolution", Neural Computation, 7, pp.1129~1159 (1995)
  7. Kari Torkkola, "Blind Separation of Convolved Sources Based on Information Maximization", Neural Networks for Signal Processing, IEEE Signal Processing Society Worksho (1996)
  8. 이행우, "암묵신호분리를 이용한 스테레오 음향반향제거기", (사)디지털산업정보학회 논문지, 8(3), pp.125~131 (2012), (사)디지털산업정보학회

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