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Error patterns of native and non-native listeners' perception of speech in noise
Author(s) -
Benjamin D. Zinszer,
Meredith Riggs,
Rachel Reetzke,
Bharath Chandrasekaran
Publication year - 2019
Publication title -
the journal of the acoustical society of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.619
H-Index - 187
eISSN - 1520-8524
pISSN - 0001-4966
DOI - 10.1121/1.5087271
Subject(s) - utterance , active listening , perception , speech recognition , speech perception , computer science , speech error , noise (video) , stimulus (psychology) , psychology , linguistics , speech production , cognitive psychology , artificial intelligence , communication , neuroscience , image (mathematics) , philosophy
Speech perception in noise requires both bottom-up sampling of the stimulus and top-down reconstruction of the masked signal from a language model. Previous studies have provided mixed evidence about the exact role that linguistic knowledge plays in native and non-native listeners' perception of masked speech. This paper describes an analysis of whole utterance, content word, and morphosyntactic error patterns to test the prediction that non-native listeners are uniquely affected by energetic and informational masks because of limited information at multiple linguistic levels. The results reveal a consistent disadvantage for non-native listeners at all three levels in challenging listening environments.

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