clip b you know we spend a lot of cme in the

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Unformatted text preview: controlling for differences between different voices. -  l༆  Invented in the 1960's by Wallace Lambert, first used to study language a)tudes in Montreal. Example l༆  l༆  l༆  l༆  Speaker A Speaker B Speaker C (Actually Speaker A, using a different accent) Speaker D -  Study would compare reacCons to A and C (B and D are filler items). -  How do you think reacCons to A & C would differ? What about content? l༆  l༆  l༆  The goal of matched guise is to have listeners rate speakers based on their speech, not based on what they say. For this reason, most matched guise studies try to control for content by having speakers read the same passage. More recent studies have experimented with having spontaneous content that varies by speaker. Problems with TradiConal Matched Guise l༆  l༆  Although it's the same speaker in two clips, the speaker is giving different performances, so they might vary in their speech. Because you are eliciCng performance of a parCcular accent, the speech you get is not enCrely natural. Digital Matched Guise l༆  l༆  l༆  l༆  A more modern version of matched guise uses digital manipulaCon to precisely modify aspects of a speaker's speech. You can also synthesize new sounds. Digital tech solves the previous problems with matched guise. But, you can't really create a whole new accent through digital manipulaCon (yet). Example: Kathryn Campbell- Kibler (2005) l༆  Digitally manipulated (ING) variable: -  Clip A: You know, we spend a lot of Cme in the mountains hiking, camping and whatnot... -  Clip...
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This document was uploaded on 03/06/2014.

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