A Comparative Study of Speech Processing in Microphone Arrays with Multichannel Alignment and Zelinski Post-Filtering

  • Sergei Aleinik
  • Mikhail Stolbov
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9319)


In this paper we present the results of a comparative study of algorithms for speech signal processing in a microphone array. We compared the multichannel alignment method and two modifications of the well-known Zelinski post-filtering. Comparisons were performed using artificial and real signals recorded in real noisy environments. The experiments helped us to devise recommendations for choosing a suitable method of signal processing for different noise conditions.


Microphone array Zelinski Post-filtering Directivity pattern Speech processing 



This work was financially supported by the Ministry of Education and Science of the Russian Federation, contract 14.575.21.0033 (RFMEFI57514X0033), and by the Government of the Russian Federation, Grant 074-U01.


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.ITMO UniversitySt. PetersburgRussia
  2. 2.Speech Technology CenterSt. PetersburgRussia

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