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Effects of Type, Token, and Talker V...

Kapadia, Alexandra M.

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Effects of Type, Token, and Talker Variability in Speech Processing Efficiency.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Effects of Type, Token, and Talker Variability in Speech Processing Efficiency./
作者:	Kapadia, Alexandra M.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:	57 p.
附註:	Source: Masters Abstracts International, Volume: 81-06.
Contained By:	Masters Abstracts International81-06.
標題:	Speech therapy. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=22592125
ISBN:	9781392801178

Effects of Type, Token, and Talker Variability in Speech Processing Efficiency.
Kapadia, Alexandra M.

Effects of Type, Token, and Talker Variability in Speech Processing Efficiency. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 57 p.

Source: Masters Abstracts International, Volume: 81-06.

Thesis (M.S.)--Boston University, 2019.

This item must not be added to any third party search indexes.

Phonetic variability across talkers imposes additional processing costs during speech perception, evident in performance decrements for mixed- vs. single-talker speech. However, within-talker phonetic variation across different utterances is another, relatively unexplored source of variability in speech, and it is unknown how processing costs from within-talker variation compare to those from between-talker variation. Because cognitive consequences of talker variability are typically measured from two-alternative forced- choice tasks, whereas naturalistic speech processing occurs in a much larger decision space, it is also unclear how the effects of across-talker and within-talker variability scale and interact when there are more options to choose between during word identification. Here, we measured response times in a speeded word identification task that factorially manipulated three dimensions of speech variability: number of talkers (one vs. four), number of target word choices (two vs. six), and number of talker-specific exemplars per word (one vs. eight). Across all eight experimental levels, larger decision spaces led to significantly slower word identification. Word identification was also slower in conditions with mixed talkers and conditions with multiple exemplars. However, performance decrements between mixed- vs. single-talker speech were only present when variability in the other two dimensions was low, but decrements between multi- vs. single-token speech were present under all conditions. This pattern of interactions suggests complex processing relationships between type, token, and talker variability and provides preliminary evidence for how both within- and between-talker variability impose additional processing costs in speech perception.

ISBN: 9781392801178Subjects--Topical Terms:

520446
Speech therapy.

Effects of Type, Token, and Talker Variability in Speech Processing Efficiency.
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520 $a Phonetic variability across talkers imposes additional processing costs during speech perception, evident in performance decrements for mixed- vs. single-talker speech. However, within-talker phonetic variation across different utterances is another, relatively unexplored source of variability in speech, and it is unknown how processing costs from within-talker variation compare to those from between-talker variation. Because cognitive consequences of talker variability are typically measured from two-alternative forced- choice tasks, whereas naturalistic speech processing occurs in a much larger decision space, it is also unclear how the effects of across-talker and within-talker variability scale and interact when there are more options to choose between during word identification. Here, we measured response times in a speeded word identification task that factorially manipulated three dimensions of speech variability: number of talkers (one vs. four), number of target word choices (two vs. six), and number of talker-specific exemplars per word (one vs. eight). Across all eight experimental levels, larger decision spaces led to significantly slower word identification. Word identification was also slower in conditions with mixed talkers and conditions with multiple exemplars. However, performance decrements between mixed- vs. single-talker speech were only present when variability in the other two dimensions was low, but decrements between multi- vs. single-token speech were present under all conditions. This pattern of interactions suggests complex processing relationships between type, token, and talker variability and provides preliminary evidence for how both within- and between-talker variability impose additional processing costs in speech perception.
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