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Optimization of Zelinski Post-filtering Calculation

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Speech and Computer (SPECOM 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9811))

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Abstract

This paper describes a new optimized method for calculating Zelinski post-filter transfer function for a microphone array. Optimized algorithm requires less memory and fewer arithmetical multiplications. We demonstrate that for the known algorithm computational complexity increases quadratically as a function of the number of microphones. In contrast, the computational complexity of the proposed algorithm increases linearly. This provides a considerable acceleration in the calculation of the post-filter transfer function.

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References

  1. Zelinski, R.: A microphone array with adaptive post-filtering for noise reduction in reverberant rooms. In: Proceedings of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), New York, pp. 2578–2581 (1988)

    Google Scholar 

  2. Aleinik, S., Stolbov, M.: A comparative study of speech processing in microphone arrays with multichannel alignment and Zelinski post-filtering. In: Ronzhin, A., Potapova, R., Fakotakis, N. (eds.) SPECOM 2015. LNCS, vol. 9319, pp. 34–41. Springer, Heidelberg (2015)

    Chapter  Google Scholar 

  3. Junfeng, L., Akagi, M.: Theoretical analysis of microphone arrays with post-filtering for coherent and incoherent noise suppression in noisy environments. In: Proceedings of IWAENC2005-International Workshop on Acoustic Echo and Noise Control, pp. 85–88 (2005)

    Google Scholar 

  4. Fischer, S., Kammeyer, K.D., Simmer, K.U.: Adaptive microphone arrays for speech enhancement in coherent and incoherent noise fields. In: Proceedings of 3rd Joint Meeting Acoustical Society of America and Acoustical Society of Japan (1996)

    Google Scholar 

  5. McCowan, I.A., Bourlard, H.: Microphone array post-filter based on noise field coherence. IEEE Trans. Speech Audio Process. 11(6), 709–716 (2003)

    Article  Google Scholar 

  6. Cheng, N., Liu, W., Li, P., Xu, B.: An effective microphone array post-filter in arbitrary environments. In: Proceedings of INTERSPEECH-2008, pp. 439–442 (2008)

    Google Scholar 

  7. Löllmann, H.W., Vary, P., Post-filter design for superdirective beamformers with closely spaced microphones. In: Proceeding of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2007), pp. 291–294 (2007)

    Google Scholar 

  8. Wolff, T., Buck. M., A generalized view on microphone array postfilters. In: Proceedings of International Workshop on Acoustic Signal Enhancement (2010)

    Google Scholar 

  9. Stolbov, M., Aleinik, S.: Speech enhancement with microphone array using frequency-domain alignment technique. In: Proceedings of 54-th Conference on Audio Forensics Techniques, Technologies and Practice, no. 54, pp. 1–5 (2014)

    Google Scholar 

  10. Stolbov, M., Aleinik, S.: Improvement of microphone array characteristics for speech capturing. Modern Appl. Sci. 9(6), 343–352 (2015)

    Google Scholar 

  11. Kozlov, A., Kudashev, O., Matveev, Y., Pekhovsky, T., Simonchik, K., Shulipa, A.: SVID speaker recognition system for NIST SRE 2012. In: Železný, M., Habernal, I., Ronzhin, A. (eds.) SPECOM 2013. LNCS, vol. 8113, pp. 278–285. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  12. Karpov, A., Akarun, L., Yalcin, H., Ronzhin, A., Demiroz, B., Coban, A., Zelezny, M.: Audio-visual signal processing in a multimodal assisted living environment. In: Proceedings of INTERSPEECH-2014, pp. 1023–1027 (2014)

    Google Scholar 

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Acknowledgement

This work was financially supported by the Government of the Russian Federation, Grant 074-U01.

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Authors and Affiliations

  1. ITMO University, 49 Kronverkskiy pr., St. Petersburg, 197101, Russia

    Sergei Aleinik

  2. Alango Technologies Ltd., St. Petersburg, Russia

    Sergei Aleinik

Authors
  1. Sergei Aleinik
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Correspondence to Sergei Aleinik .

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Editors and Affiliations

  1. SPIIRAS , Saint-Petersburg, Russia

    Andrey Ronzhin

  2. Moscow State Linguistic University , Moscow, Russia

    Rodmonga Potapova

  3. Budapest University of Technology and Economics, Budapest, Hungary

    Géza Németh

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Aleinik, S. (2016). Optimization of Zelinski Post-filtering Calculation. In: Ronzhin, A., Potapova, R., Németh, G. (eds) Speech and Computer. SPECOM 2016. Lecture Notes in Computer Science(), vol 9811. Springer, Cham. https://doi.org/10.1007/978-3-319-43958-7_63

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  • DOI: https://doi.org/10.1007/978-3-319-43958-7_63

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-43957-0

  • Online ISBN: 978-3-319-43958-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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