Abstract
This paper discusses the results of experimental research in the field of auditory recognition of the semantic content of Russian spoken discourses in noise. Some spoken discourses in noise were presented to listeners for auditory perception and then recognition of main topics and subtopics of the stimuli. The research included the following questions: is it possible to define topics and subtopics of spoken discourse in noise; does the quality of speech recognition and understanding depend on a subject of spoken discourse; how do these factors correlate. Statistical analysis revealed that there is a main effect of the semantic content recognition of spoken text/discourse in noise (some kinds of signal-noise ratio) by listeners.
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Acknowledgments
This research is supported by Ministry of Education and Science of Russian Federation. Project No. 3118, state assignment 2014/102 at Moscow State Linguistic University (scientific head of the project R.K. Potapova)
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Potapova, R., Potapov, V. (2015). Cognitive Mechanism of Semantic Content Decoding of Spoken Discourse in Noise. 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_19
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DOI: https://doi.org/10.1007/978-3-319-23132-7_19
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