Abstract
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.
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Acknowledgements
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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Aleinik, S., Stolbov, M. (2015). A Comparative Study of Speech Processing in Microphone Arrays with Multichannel Alignment and Zelinski Post-Filtering. In: Ronzhin, A., Potapova, R., Fakotakis, N. (eds) Speech and Computer. SPECOM 2015. Lecture Notes in Computer Science(), vol 9319. Springer, Cham. https://doi.org/10.1007/978-3-319-23132-7_4
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DOI: https://doi.org/10.1007/978-3-319-23132-7_4
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