Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"Suprasegmental features"”.
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Aspects of the phonology of Sukwa: an optimality theoretic analysis
… syllable structures, phonological processes and suprasegmental features and have based their analyses on various theories of phonology.
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The effects of self-monitoring strategy use on the pronunciation of learners of English
… reveal improvements in specific pronunciation features. The goal of this study was to extend our understanding of the role of strategy use in L2 (second language) pronunciation learning by investigating the effectiveness of training future international teaching assistants (ITAs) to critically …
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Taking attention away from the auditory modality : investigations of the effect on speech processing using machine learning
… pitch contours (Mandarin tones), a suprasegmental feature that is critical to the percept of lexical tones. Further, we provide novel evidence that the impact of the visual load is highly dependent on the predictability of the incoming speech stream. In study 2, we utilized …
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PERCEPTUAL REPRESENTATION OF SPEAKER GENDER
… age, dialect, vocal quality, and suprasegmental features. Further, listeners used different organizing factors depending on perception of speaker gender. In contrast, cluster solutions for categorizations of gender identity were simplified and demonstrated listeners’ attention to …
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High variability pronunciation training for word stress in English
… such as the challenging /l/-/ɹ/ contrast, and suprasegmental features such as tone and pitch accent. These studies have found that HVPT is an effective method not only in helping learners improve their perception but also in retaining their learning and generalizing their knowledge to new …
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Characterizing and recognizing spoken corrections in human-computer dialog
… quantifies and builds upon the observation that suprasegmental features, such as duration, pause, and pitch, play a crucial role in distinguishing corrections from other forms of input to spoken language systems. These features can also be used to identify spoken corrections and explain …