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Journal of Electrical and Computer Engineering
Volume 2017, Article ID 1831856, 9 pages
Research Article

Crosslinguistic Intelligibility of Russian and German Speech in Noisy Environment

Institute of Applied and Mathematical Linguistics, Moscow State Linguistic University, Ostozhenka 38, Moscow 119034, Russia

Correspondence should be addressed to Maria Grigorieva; ur.liam@211mavonavi

Received 19 June 2016; Revised 26 January 2017; Accepted 26 February 2017; Published 13 July 2017

Academic Editor: Alexey Karpov

Copyright © 2017 Rodmonga Potapova and Maria Grigorieva. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper discusses the results of the pilot experimental research dedicated to speech recognition and perception of the semantic content of the utterances in noisy environment. The experiment included perceptual-auditory analysis of words and phrases in Russian and German (in comparison) in the same noisy environment: various (pink and white) types of noise with various levels of signal-to-noise ratio. The statistical analysis showed that intelligibility and perception of the speech in noisy environment are influenced not only by noise type and its signal-to-noise ratio, but also by some linguistic and extralinguistic factors, such as the existing redundancy of a particular language at various levels of linguistic structure, changes in the acoustic characteristics of the speaker while switching from one language to another one, the level of speaker and listener’s proficiency in a specific language, and acoustic characteristics of the speaker’s voice.