Speech production, cognitive processes & big data
CRBLM Workshop featuring a Distinguished Lecture by Matt Goldrick, PhD (Northwestern)
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Please join us for "Speech production, cognitive processes and big data.鈥 a CRBLM workshop accompanying Dr. Matt Goldrick鈥檚 October 2nd Distinguished Lecture: "Phonetic echoes of cognitive processing." The workshop begins at 10:30 am and features brief talks by centre faculty and students, who will explore the intersection between variability in speech production, cognitive processes, and tools for creating and analyzing large linguistic datasets.听听
Catered lunch will be provided, and the event will culminate with Dr. Goldrick鈥檚 Distinguished Lecture, beginning at 1:30 pm.
All are welcome to attend all talks, but registration is required by 24 September if you will attend lunch. You will not be added to a mailing list, so please use your real name and coords folks.听
Those wishing to meet with Dr. Goldrick during his visit to the centre are asked to contact student organizer, Oriana Kilbourn-Ceron (first.last-last [at] mail.mcgill.ca).
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Workshop Programme and Distinguished Lecture Abstract |
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10h35-11h00 |
Nicolas Bourguignon |
11h00-11h25 |
Oriana Kilbourn-Ceron |
11h25-11h50 |
Morgan Sonderegger & Michael Wagner |
11:50-12:15 |
Michael McAuliffe |
12:15 |
Catered luncheon |
13h30-14:30 |
Matt Goldrick, PhD |
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Phonetic echoes of cognitive processingFor many years, theories of language production assumed a strict functional separation between peripheral phonetic encoding processes and more central cognitive processes. The output of lexical access鈥攖he processes mapping intended messages to utterance plans鈥攚as assumed to yield a plan that was simply executed by more peripheral processes. Recent work has challenged such proposals, showing that on-line disruptions to lexical access can affect gradient phonetic properties (e.g., phonological speech errors influence the phonetic properties of speech sounds; Goldrick & Blumstein, 2006). I'll discuss two sets of projects from my lab that extend this work. Large data sets, enabled by machine-learning based techniques for automated phonetic analysis, provide new insights into the consequences of cognitive disruptions for monolingual speech. I'll then discuss how cognitive disruptions modulate cross-language interactions in multilingual speakers. |
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