國立虎尾科技大學 |

Shaping Speech Patterns via Predictability and Recoverability.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Shaping Speech Patterns via Predictability and Recoverability./
作者:	Whang, James Doh Yeon.
面頁冊數:	1 online resource (221 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-02(E), Section: A.
Contained By:	Dissertation Abstracts International79-02A(E).
標題:	Linguistics. -
電子資源:	click for full text (PQDT)
ISBN:	9780355406955

Shaping Speech Patterns via Predictability and Recoverability.
Whang, James Doh Yeon.

Shaping Speech Patterns via Predictability and Recoverability. - 1 online resource (221 pages)

Source: Dissertation Abstracts International, Volume: 79-02(E), Section: A.

Thesis (Ph.D.)

Includes bibliographical references

Recoverability refers to the ease of recovering the underlying form---stored mental representations--- given a surface form---actual, variable output signals (e.g., [thaet?, thaet?] ? /thaet/ 'that'). Recovery can be achieved from phonetic cues explicitly present in the acoustic signal or through prediction from the context. However, recoverability can be compromised when the information in the signal is insufficient or the predictability in a given context is not high enough. The purpose of this dissertation is to investigate through experiments and computational modeling how phonotactic predictability in a given context affects (i) the amount of information present in the signal during production, (ii) the attention paid to the information during perception, and (iii) how reliance on phonotactics and phonetic cues might be learned. The language in focus is Japanese, a language well-known for its CV phonotactic preference, and the process of high vowel reduction, which often results in consonant clusters that violate this phonotactic restriction. The results suggest that language users prioritize predictability during speech processing, with phonetic-cue interpretation applying when predictability is not reliable enough.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355406955Subjects--Topical Terms:

557829
Linguistics.
Index Terms--Genre/Form:

554714
Electronic books.

Shaping Speech Patterns via Predictability and Recoverability.
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245 1 0 $a Shaping Speech Patterns via Predictability and Recoverability.
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500 $a Source: Dissertation Abstracts International, Volume: 79-02(E), Section: A.
500 $a Advisers: Lisa Davidson; Frans Adriaans.
502 $a Thesis (Ph.D.) $c New York University $d 2017.
504 $a Includes bibliographical references
520 $a Recoverability refers to the ease of recovering the underlying form---stored mental representations--- given a surface form---actual, variable output signals (e.g., [thaet?, thaet?] ? /thaet/ 'that'). Recovery can be achieved from phonetic cues explicitly present in the acoustic signal or through prediction from the context. However, recoverability can be compromised when the information in the signal is insufficient or the predictability in a given context is not high enough. The purpose of this dissertation is to investigate through experiments and computational modeling how phonotactic predictability in a given context affects (i) the amount of information present in the signal during production, (ii) the attention paid to the information during perception, and (iii) how reliance on phonotactics and phonetic cues might be learned. The language in focus is Japanese, a language well-known for its CV phonotactic preference, and the process of high vowel reduction, which often results in consonant clusters that violate this phonotactic restriction. The results suggest that language users prioritize predictability during speech processing, with phonetic-cue interpretation applying when predictability is not reliable enough.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Linguistics. $3 557829
655 7 $a Electronic books. $2 local $3 554714
690 $a 0290
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710 2 $a New York University. $b Linguistics. $3 1183881
773 0 $t Dissertation Abstracts International $g 79-02A(E).
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