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Non-native speakers have lower linguistic competence than native speakers, which renders their language less reliable in conveying their intentions. We suggest that expectations of lower competence ...
Models of language processing traditionally assume that we process the language of all speakers similarly, regardless of who they are. Thus, they assume that we will understand the sentence I just...
In speech, words are often reduced rather than fully pronounced (e.g., (/ˈsʌmri/ for /ˈsʌməri/, summary). Non-native listeners may have problems in processing these redu...
Disfluencies, such as uh and uhm, are known to help the listener in speech comprehension. For instance, disfluencies may elicit prediction of less accessible referents and may trigger li...
Non-native speakers have lower linguistic competence than native speakers, which renders their language less reliable in conveying their intentions. We suggest that expectations of lower competence le...
Speech comprehension involves extensive use of prediction. Linguistic prediction may be guided by the semantics or syntax, but also by the performance characteristics of the speech signal, such as dis...
Perceptual compensation for speaker vocal tract properties was investigated in four groups of listeners: native speakers of English and native speakers of Dutch, native speakers of Spanish with low pr...
This study investigated the phonological representations of vowels in children’s native and non-native lexicons. Two experiments were mispronunciation tasks (i.e., a vowel in words was substituted by ...
Brain-computer interfaces (BCIs) are systems that use real-time analysis of neuroimaging data to determine the mental state of their user for purposes such as providing neurofeedback. Here, we investi...
Do Slovak–German bilinguals apply native Slovak phonological and lexical knowledge when segmenting German speech? When Slovaks listen to their native language, segmentation is impaired when fix...
English listeners largely disregard suprasegmental cues to stress in recognizing words. Evidence for this includes the demonstration of Fear et al. J. Acoust. Soc. Am. 97, 1893–1904 1995 that cros...
Speech recognition in noise is harder in second L2 than first languages L1. This could be because noise disrupts speech processing more in L2 than L1, or because L1 listeners recover better though...
Lexical Modeling of Non-native Speech for Automatic Speech Recognition.
Detection of Non-native Sentences using Machine-translated Training Data.

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