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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 8 of 8 1 Managing data for integrated speech corpus analysis in SPeech Across Dialects of English (SPADE) Sonderegger, Morgan; Stuart-Smith, Jane; McAuliffe, Michael. - : MIT Press Open, 2022 BASE Show details 2 Large-scale analyses of English /s/-retraction across dialects ... Stuart-Smith, Jane; Sonderegger, Morgan; MacDonald, Rachel. - : Open Science Framework, 2019 BASE Show details 3 ISCAN: a System for Integrated Phonetic Analyses Across Speech Corpora McAuliffe, Michael; Coles, Arlie; Goodale, Michael. - : Australasian Speech Science and Technology Association Inc., 2019 BASE Show details 4 Large-scale Acoustic Analysis of Dialectal and Social Factors in English /s/-retraction Stuart-Smith, Jane; Sonderegger, Morgan; Macdonald, Rachel. - 2019 BASE Show details 5 Age Vectors vs. Axes of Intraspeaker Variation in Vowel Formants Measured Automatically From Several English Speech Corpora Mielke, Jeff; Thomas, Erik R.; Fruehwald, Josef. - 2019 BASE Show details 6 Attention and salience in lexically-guided perceptual learning ... McAuliffe, Michael. - : University of British Columbia, 2015 BASE Show details 7 Attention and salience in lexically-guided perceptual learning McAuliffe, Michael. - : University of British Columbia, 2015 Abstract: Psychophysical studies of perceptual learning find that perceivers only improve the accuracy of their perception on stimuli similar to what they were trained on. In contrast, speech perception studies of perceptual learning find generalization to novel contexts when words contain a modified ambiguous sound. This dissertation seeks to resolve the apparent conflict between these findings by framing the results in terms of attentional sets. Attention can be oriented towards comprehension of the speaker’s intended meaning or towards perception of a speaker’s pronunciation. Attention is proposed to affect perceptual learning as follows. When attention is oriented towards comprehension, more abstract and less context-dependent representations are updated and the perceiver shows generalized perceptual learning, as seen in the speech perception literature. When attention is oriented towards perception, more finely detailed and more context-dependent representations are updated and the perceiver shows less generalized perceptual learning, similar to what is seen in the psychophysics literature. This proposal is supported by three experiments. The first two implement a standard paradigm for perceptual learning in speech perception. In these experiments, promoting a more perception-oriented attentional set causes less generalized perceptual learning. The final experiment uses a novel paradigm where modified sounds are embedded in sentences during exposure. Perceptual learning is found only when the modified sound is embedded in words that are not predictable from the sentence. When modified sounds are in predictable words, no perceptual learning is observed. To account for this lack of perceptual learning, I hypothesize that sounds in predictable sentences are less reliable than sounds in words in isolation or unpredictable sentences. In the cases where perceptual learning is present, contexts which support comprehension-oriented attentional sets show larger perceptual learning effects than contexts promoting perception-oriented attentional sets. I argue that attentional sets are a key component to the generalization of perceptual learning to new contexts. ; Arts, Faculty of ; Linguistics, Department of ; Graduate URL: http://hdl.handle.net/2429/54152 BASE Hide details 8 Can mergers-in-progress be unmerged in speech accommodation? Babel, Molly; McAuliffe, Michael; Haber, Graham. - : Frontiers Media S.A., 2013 BASE Show details

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