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The time course of indexical specifi...
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McLennan, Conor Thomas.
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The time course of indexical specificity effects in spoken word recognition.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
The time course of indexical specificity effects in spoken word recognition./
作者:
McLennan, Conor Thomas.
面頁冊數:
105 p.
附註:
Source: Dissertation Abstracts International, Volume: 64-08, Section: B, page: 4078.
Contained By:
Dissertation Abstracts International64-08B.
標題:
Psychology, Cognitive. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3102391
ISBN:
0496499610
The time course of indexical specificity effects in spoken word recognition.
McLennan, Conor Thomas.
The time course of indexical specificity effects in spoken word recognition.
- 105 p.
Source: Dissertation Abstracts International, Volume: 64-08, Section: B, page: 4078.
Thesis (Ph.D.)--State University of New York at Buffalo, 2003.
We investigated the time course of specificity in spoken word recognition by examining the circumstances under which indexical variability (e.g., differences among talkers) affects participants' perception of spoken words. Past research has demonstrated that indexical variability affects the speed and accuracy with which spoken words are processed. Participants are slower and less accurate to repeat stimuli spoken by multiple talkers than to repeat stimuli spoken by a single talker. Previous research has also demonstrated that talker-specific surface details of spoken words are represented in long-term memory. When participants are presented with two blocks of spoken items, they are slower and less accurate to repeat stimuli in the second block that were spoken by a different talker in the first block than to repeat stimuli spoken by the same talker in both blocks. Thus, previous research demonstrates that variability has both representational and processing consequences for spoken word recognition. In the present research, we examine one of the conditions expected to influence the extent to which indexical variability plays a role in spoken word recognition, namely the time course of processing. Based on our past work, we hypothesize that indexical specificity effects will only affect later stages of processing in spoken word recognition. Thus, whereas such effects should not be in evidence during initial stages of perceptual processing, we should observe specificity effects during subsequent stages. Our prediction is based on the theoretical construct of feature frequency, which assumes that more frequent representations initially dominate processing of spoken words. Furthermore, no current model of spoken word recognition is able to account for variability, particularly time course effects. Consequently, we propose that variability and time course effects are most naturally accounted for within an adaptive resonance framework.
ISBN: 0496499610Subjects--Topical Terms:
1017810
Psychology, Cognitive.
The time course of indexical specificity effects in spoken word recognition.
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We investigated the time course of specificity in spoken word recognition by examining the circumstances under which indexical variability (e.g., differences among talkers) affects participants' perception of spoken words. Past research has demonstrated that indexical variability affects the speed and accuracy with which spoken words are processed. Participants are slower and less accurate to repeat stimuli spoken by multiple talkers than to repeat stimuli spoken by a single talker. Previous research has also demonstrated that talker-specific surface details of spoken words are represented in long-term memory. When participants are presented with two blocks of spoken items, they are slower and less accurate to repeat stimuli in the second block that were spoken by a different talker in the first block than to repeat stimuli spoken by the same talker in both blocks. Thus, previous research demonstrates that variability has both representational and processing consequences for spoken word recognition. In the present research, we examine one of the conditions expected to influence the extent to which indexical variability plays a role in spoken word recognition, namely the time course of processing. Based on our past work, we hypothesize that indexical specificity effects will only affect later stages of processing in spoken word recognition. Thus, whereas such effects should not be in evidence during initial stages of perceptual processing, we should observe specificity effects during subsequent stages. Our prediction is based on the theoretical construct of feature frequency, which assumes that more frequent representations initially dominate processing of spoken words. Furthermore, no current model of spoken word recognition is able to account for variability, particularly time course effects. Consequently, we propose that variability and time course effects are most naturally accounted for within an adaptive resonance framework.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3102391
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