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International Journal of Reconfigurable Computing
Volume 2018, Article ID 3721756, 9 pages
https://doi.org/10.1155/2018/3721756
Research Article

On a Real-Time Blind Signal Separation Noise Reduction System

1Department of Applied Mathematics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
2School of Electronics and Computer Science, University of Southampton, Malaysia Campus, Iskandar Puteri, Johor, Malaysia

Correspondence should be addressed to Ka Fai Cedric Yiu; kh.ude.uylop@uiycam

Received 30 May 2018; Revised 22 October 2018; Accepted 13 November 2018; Published 4 December 2018

Academic Editor: John Kalomiros

Copyright © 2018 Ka Fai Cedric Yiu and Siow Yong Low. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. M. Brandstein and D. Ward, Eds.“Microphone Arrays: Signal Processing Techniques and Applications,” in Digital Signal Processing, Springer-Verlag, Berlin, 2001.
  2. J. Benesty, S. Makino, and J. Chen, “Speech Enhancement,” in Signals and Communication Technology, Springer-Verlag, Berlin, March 2005. View at Google Scholar
  3. P. Loizou, Speech Enhancement: Theory and Practice, CRC Press, Taylor and Francis, Boca Raton, Florida, USA, 2007.
  4. R. Martin, “Noise power spectral density estimation based on optimal smoothing and minimum statistics,” IEEE Transactions on Speech and Audio Processing, vol. 9, no. 5, pp. 504–512, 2001. View at Publisher · View at Google Scholar · View at Scopus
  5. R. Miyazaki, H. Saruwatari, T. Inoue, Y. Takahashi, K. Shikano, and K. Kondo, “Musical-noise-free speech enhancement based on optimized iterative spectral subtraction,” IEEE Transactions on Audio, Speech and Language Processing, vol. 20, no. 7, pp. 2080–2094, 2012. View at Publisher · View at Google Scholar · View at Scopus
  6. L. J. Griffiths and C. W. Jim, “An alternative approach to linearly constrained adaptive beamforming,” IEEE Transactions on Antennas and Propagation, vol. 30, no. 1, pp. 27–34, 1982. View at Publisher · View at Google Scholar · View at Scopus
  7. I. Claesson and S. Nordholm, “A Spatial Filtering Approach to Robust Adaptive beamforming,” IEEE Transactions on Antennas and Propagation, vol. 40, no. 9, pp. 1093–1096, 1992. View at Publisher · View at Google Scholar · View at Scopus
  8. S. Y. Low, N. Grbić, and S. Nordholm, “Speech enhancement using multiple soft constrained subband beamformers and non-coherent technique,” in Proceedings of the 2003 IEEE International Conference on Accoustics, Speech, and Signal Processing, vol. 5, pp. 489–492, Hong Kong, April 2003. View at Scopus
  9. H. Q. Dam, S. Y. Low, S. Nordholm, and H. H. Dam, “Adaptive microphone array with noise statistics updates,” in Proceedings of the 2004 IEEE International Symposium on Cirquits and Systems, vol. 3, pp. 433–436, Canada, 2004. View at Scopus
  10. S. Y. Low, N. Grbic, and S. Nordholm, “Robust microphone array using subband adaptive beamformer and spectral subtraction,” in Proceedings of the 8th IEEE International Conference on Communications Systems, ICCS 2002, pp. 1020–1024, Singapore, 2002. View at Publisher · View at Google Scholar
  11. J.-F. Cardoso, “Blind signal separation: statistical principles,” Proceedings of the IEEE, vol. 86, no. 10, pp. 2009–2025, 1998. View at Publisher · View at Google Scholar · View at Scopus
  12. L. Parra and C. Spence, “Convolutive blind separation of non-stationary sources,” IEEE Transactions on Audio, Speech and Language Processing, vol. 8, no. 3, pp. 320–327, 2000. View at Publisher · View at Google Scholar · View at Scopus
  13. Z. Lv, B.-B. Zhang, X.-P. Wu, C. Zhang, and B.-Y. Zhou, “A permutation algorithm based on dynamic time warping in speech frequency-domain blind source separation,” Speech Communication, vol. 92, pp. 132–141, 2017. View at Publisher · View at Google Scholar · View at Scopus
  14. S. Gannot, E. Vincent, S. Markovich-Golan, and A. Ozerov, “A Consolidated Perspective on Multimicrophone Speech Enhancement and Source Separation,” IEEE/ACM Transactions on Audio Speech and Language Processing, vol. 25, no. 4, pp. 692–730, 2017. View at Google Scholar · View at Scopus
  15. S. Araki, R. Mukai, S. Makino, T. Nishikawa, and H. Saruwatari, “The fundamental limitation of frequency domain blind source separation for convolutive mixtures of speech,” IEEE Transactions on Audio, Speech and Language Processing, vol. 11, no. 2, pp. 109–116, 2003. View at Publisher · View at Google Scholar · View at Scopus
  16. S. Y. Low, S. Nordholm, and R. Togneri, “Convolutive blind signal separation with post-processing,” IEEE Transactions on Audio, Speech and Language Processing, vol. 12, no. 5, pp. 539–548, 2004. View at Publisher · View at Google Scholar · View at Scopus
  17. S. Y. Low and S. Nordholm, “A Blind Approach to Joint Noise and Acoustic Echo Cancellation,” in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP '05), vol. 3, pp. 69–72, Philadelphia, Pennsylvania, USA, 2005. View at Publisher · View at Google Scholar
  18. J. Y. Mori and M. Hubner, “Multi-level parallelism analysis and system-level simulation for many-core Vision processor design,” in Proceedings of the 2016 5th Mediterranean Conference on Embedded Computing (MECO), pp. 90–95, Bar, Montenegro, June 2016. View at Publisher · View at Google Scholar
  19. G. Zhong, A. Prakash, S. Wang, Y. Liang, T. Mitra, and S. Niar, “Design Space exploration of FPGA-based accelerators with multi-level parallelism,” in Proceedings of the 20th Design, Automation and Test in Europe Conference and Exhibition, DATE 2017, pp. 1141–1146, Switzerland, March 2017. View at Scopus
  20. P. Graham and B. Nelson, “FPGA-based sonar processing,” in Proceedings of the 1998 ACM/SIGDA 6th International Symposium on Field Programmable Gate Arrays, FPGA, pp. 201–208, February 1998. View at Scopus
  21. B. G. Tomov and J. A. Jensen, “A new architecture for a single-chip multi-channel beamformer based on a standard FPGA,” in Proceedings of the 2001 Ultrasonics Symposium, pp. 1529–1533, USA, October 2001. View at Scopus
  22. M. D. Van De Burgwal, K. C. Rovers, K. C. H. Blom, A. B. J. Kokkeler, and G. J. M. Smit, “Adaptive beamforming using the reconfigurable MONTIUM TP,” in Proceedings of the 13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools, DSD 2010, pp. 301–308, France, September 2010. View at Scopus
  23. D. Theodoropoulos and G. Kuzmanov, “A reconfigurable beamformer for audio applications,” in Proceedings of the 2009 IEEE 7th Symposium on Application Specific Processors, SASP 2009, pp. 80–87, USA, July 2009. View at Scopus
  24. N. Dubey and R. Mehra, “Blind Audio Source Separation in Time Domain using ICA Decomposition,” International Journal of Computer Applications, vol. 132, no. 6, pp. 48–53, 2015. View at Publisher · View at Google Scholar
  25. P. K. Ghosh, A. Tsiartas, and S. Narayanan, “Robust voice activity detection using long-term signal variability,” IEEE Transactions on Audio, Speech and Language Processing, vol. 19, no. 3, pp. 600–613, 2011. View at Publisher · View at Google Scholar · View at Scopus
  26. J. Li, H. Zhang, M. Fan, and J. Zhang, “Non-stationary sources separation based on maximum likelihood criterion using source temporal–spatial model,” Neurocomputing, vol. 275, pp. 341–349, 2018. View at Publisher · View at Google Scholar · View at Scopus
  27. J. Yin, Z. Liu, Y. Jin, D. Peng, and J. Kang, “Blind Source Separation and Identification for Speech Signals,” in Proceedings of the 2017 International Conference on Sensing, Diagnostics, Prognostics and Control (SDPC), pp. 398–402, Shanghai, August 2017. View at Publisher · View at Google Scholar
  28. K. F. C. Yiu, Z. Li, S. Y. Low, and S. Nordholm, “FPGA multi-filter system for speech enhancement via multi-criteria optimization,” Applied Soft Computing, vol. 21, pp. 533–541, 2014. View at Publisher · View at Google Scholar · View at Scopus
  29. Inc. Xilinx, “Fast Fourier Transform product specification,” LogiCORE IP Product Guide, DS260, 2011.
  30. W. Tang, C. H. Ho, C. Sham, and K. F. C. Yiu, “Low-power reconfigurable acceleration of robust frequency-domain echo cancellation on FPGA,” in Proceedings of the 2010 International Conference on Green Circuits and Systems (ICGCS), pp. 361–364, Shanghai, China, June 2010. View at Publisher · View at Google Scholar