Associative Mechanism of Foreign Spoken Language Perception (Forensic Phonetic Aspect)

Потапова, Р.К.; Потапов, В.В.

doi:10.1007/978-3-319-11581-8_14

Cited by 6 publications

(1 citation statement)

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“…Another study [22] investigated changes of speaker characteristics (such as voice pitch, tempo of speech, voice strength) in the conditions of switching from a native (Russian) language to a foreign one (English). The latest researches were focused on cognitive mechanisms of semantic content decoding of Russian speech in noise [23,24], which demonstrated that dialogs have better intelligibility than monologs and reading, and such factors as background knowledge of listeners about the topic of the conversation and their general interest, as well as emotional level of the speaker, also influenced the process of speech perception.…”

Section: Introductionmentioning

confidence: 99%

Crosslinguistic Intelligibility of Russian and German Speech in Noisy Environment

Потапова

Grigorieva

2017

Journal of Electrical and Computer Engineering

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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.

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Section: Introductionmentioning

confidence: 99%