SPEECH ACQUISITION IN NOISY ENVIRONMENTS USING DUAL MICROPHONE ARRAYS

Mikhail B. Stolbov, Quan Trong The

doi:10.17586/2226-1494-2018-18-5-850-857

2018 , VOLUME 18, NUMBER 5 ( September-October )

ISSN 2226-1494 (print), ISSN 2500-0373 (online)

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Nikiforov
Vladimir O.
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doi: 10.17586/2226-1494-2018-18-5-850-857

SPEECH ACQUISITION IN NOISY ENVIRONMENTS USING DUAL MICROPHONE ARRAYS

M. B. Stolbov, T. T. Quan

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Article in Russian

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Stolbov M.B., The Quan Trong. Speech acquisition in noisy environments using dual microphone arrays. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2018, vol. 18, no. 5, pp. 850–857 (in Russian). doi: 10.17586/2226-1494-2018-18-5-850-857

Abstract

Subject of Research.The paper deals with the practical aspects of distant speech acquisition in complex noisy environments using dual microphone arrays (MA2). The non-adaptive frequency-domain algorithms are described. The theory of MA2 is well developed so far, but the application of MA2 in specific conditions requires special consideration. The scenarios of point coherent interference and spatially distributed noise are studied.Methods. The comparison of differential algorithms and delay-and-sum algorithm is presented. The main properties of MA2 with summation algorithm and differential algorithms are researched on the basis of analytical models. Algorithms were tested on anechoic chamber recordings. The efficiency of the algorithms has been studied on recordings made near the street with intensive traffic. Main Results. The experimental results show the advantage of differential algorithms over delay-and-sum algorithm of both noise and interference suppression. For different variants of differential algorithms, street noise suppression about 10-12 dB is achieved. An additional advantage of differential algorithms is the possibility of null forming in the direction of a point source of interference. Practical Relevance. The results obtained may be used in hands free communication devices, camera equipment, portable recording devices, in acoustic monitoring systems. The results of the analysis of MA2 algorithms can also be used in the development of compact microphone arrays, as well as microphone arrays with a large number of elements.

Keywords: spatial filtering, beampattern, dual microphone arrays, frequency response, spatial response

Acknowledgements. This work was financially supported by the Government of the Russian Federation, Grant 08-08.

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