Skip to main content

Conventional Beamformer Using Post-filter for Speech Enhancement

  • Conference paper
Advances in Hybrid Information Technology (ICHIT 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4413))

Included in the following conference series:

  • 1258 Accesses

Abstract

This paper presents a combined handsfree speech enhancement method based on a spatialpost-filter. The scheme uses a linear microphone array to capture a speech signal that has been corrupted by babble noise, car noise, and interference signals. Simulation results for real environment show that the proposed structure achieves a maximum interference suppression of 12 dB, an improvement of 6 dB over the delay and sum beamformer. Furthermore, the system is robust in the presence of distortion as opposed to the generalized sidelobe canceller. The subjective evaluation has shown that the combined system of delay and sum with the minimum mean square error estimator using a noncausal signal to noise ratio (SNR) estimator obtained 3.8 points on a fivepoint.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Van Veen, B.D., Buckley, K.M.: Beamforming: A Versatile Approach to Spatial Filtering. IEEE ASSP Magazine, 4–22 (1988)

    Google Scholar 

  2. Capon, J.: High-resolution frequency-wavenumber spectrum analysis. Proc. of the IEEE 57(8), 1408–1419 (1969)

    Article  Google Scholar 

  3. Applebaum, S.P., Chapman, D.J.: Adaptive arrays with main beam constraints. IEEE Trans. Antennas and Propagate AP–24, 650–662 (1976)

    Article  Google Scholar 

  4. Griffiths, L.J., Jim, C.W.: An Alternative Approach to Linearly Constrained Adaptive Beamforming. IEEE Transactions on Antennas and Propagation AP–30, 27–34 (1982)

    Article  Google Scholar 

  5. Hoshuyama, O., Sugiyama, A., Hirano, A.: A Robust Adaptive Beamformer for Microphone Arrays with a Blocking Matrix Using Constrained Adaptive Filters. IEEE Transactions on Signal Processing 47(10) (1999)

    Google Scholar 

  6. Denholm, J.: Hands-free Voice Interface using Multiple Microphones, A report submitted for the degree of Bachelor of Engineering in Electrical and Computer, Curtin University of Technology (2004)

    Google Scholar 

  7. Low, S.Y., Grbic, N., Nordholm, S.: Robust Microphone Array using Subband Adaptive Beamformer and Spectral Subtraction. In: ICCS 2002. The 8th International Conference on Communication Systems, vol. 2(25-28), pp. 1020–1024 (2002)

    Google Scholar 

  8. Nordholm, S., Claesson, I., Grbi, N.: Structures and Performance Limits in Subband Beamforming. IEEE transactions on Speech and Audio Processing (submitted April 2001)

    Google Scholar 

  9. Boll, S.F.: Suppression of Acoustic Noise in Speech using Spectral Subtraction. IEEE Transactions on Acoustics, Speech and Signal Processing ASSP-27(2), 113–120 (1979)

    Article  Google Scholar 

  10. Davis, A.: Voice Activity Detectors and Spectral Subtraction, Curtin University of Technology, School of Electrical and Computer Engineering (2002)

    Google Scholar 

  11. Lee, H.W.: Post-filtering Noise-reduction Techniques for Hands-free Communication Systems, Curtin University of Technology, School of Electrical and Computer Engineering (2005)

    Google Scholar 

  12. Deller, J.R., Hansen, J.H.L., Proakis, J.G.: Discrete Time Processing of Speech Signals. IEEE Press, New York, USA (2000)

    Google Scholar 

  13. Cohen, I.: Speech Enhancement Using a Non causal A Priori SNR Estimator. IEEE Signal Processing Letters 11(9), 725–728 (2004)

    Article  Google Scholar 

  14. Ephraim, Y., Malah, D.: Speech enhancement using a minimum mean-square error short-time spectral amplitude estimator. IEEE Transactions on Acoustics, Speech, and SignalProcessing ASSP-32(6), 1109–1121 (1984)

    Article  Google Scholar 

  15. Wolfe, P.J., Godsill, S.J.: Simple alternatives to the Ephraim and the Malah suppression rule for speech enhancement. In: Proc. 11th, IEEE Workshop Statist. Signal Processing, Singapore, August 6–8, pp. 496–499 (2001)

    Google Scholar 

  16. Scalart, P., Vieira-Filho, J.: Speech enhancement based on a priori signal to noise estimation. In: Proc. 21st IEEE Int. Conf. Acoust. SpeechSignal Processing, Atlanta, GA, pp. 629–632 (1996)

    Google Scholar 

  17. Ephraim, Y., Malah, D.: Speech enhancement using a minimum mean square error log-spectral amplitude estimator. IEEE Trans. on Acoust., Speech, Signal Processing ASSP–33, 443–445 (1985)

    Article  Google Scholar 

  18. Kamath, S., Loizou, P.: A multi-band spectral subtraction method for enhancing speech corrupted by colored noise. In: Proceedings International Conference on Acoustics, Speech and Signal Processing (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Marcin S. Szczuka Daniel Howard Dominik Ślȩzak Haeng-kon Kim Tai-hoon Kim Il-seok Ko Geuk Lee Peter M. A. Sloot

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lee, S., Choi, K., Kim, S. (2007). Conventional Beamformer Using Post-filter for Speech Enhancement. In: Szczuka, M.S., et al. Advances in Hybrid Information Technology. ICHIT 2006. Lecture Notes in Computer Science(), vol 4413. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77368-9_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-77368-9_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77367-2

  • Online ISBN: 978-3-540-77368-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics