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Accent Conversion in Computer Assist...

Safavi, Setareh.

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Accent Conversion in Computer Assisted Pronunciation Training (CAPT).

Record Type:	Electronic resources : Monograph/item
Title/Author:	Accent Conversion in Computer Assisted Pronunciation Training (CAPT)./
Author:	Safavi, Setareh.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:	162 p.
Notes:	Source: Dissertation Abstracts International, Volume: 80-04(E), Section: A.
Contained By:	Dissertation Abstracts International80-04A(E).
Subject:	English as a second language. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13421734
ISBN:	9780438713109

Accent Conversion in Computer Assisted Pronunciation Training (CAPT).
Safavi, Setareh.

Accent Conversion in Computer Assisted Pronunciation Training (CAPT). - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 162 p.

Source: Dissertation Abstracts International, Volume: 80-04(E), Section: A.

Thesis (Ed.D.)--Alliant International University, 2018.

This study investigated a computer-assisted pronunciation training (CAPT) software that utilized automatic speech recognition (ASR) and accent conversion technology to improve pronunciation of second language learners. Such speech processing method is capable of addressing the typical shortcoming of ASR technology for second language pronunciation training, which is providing meaningful corrective feedback. By transforming foreign accented utterances into their native counterparts, the learners are presented with the meaningful corrective feedback in form of the ideal "golden speaker" to imitate i.e. learners' own voice, but with a native accent.

ISBN: 9780438713109Subjects--Topical Terms:

516208
English as a second language.

Accent Conversion in Computer Assisted Pronunciation Training (CAPT).
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100 1 $a Safavi, Setareh. $3 3431212
245 1 0 $a Accent Conversion in Computer Assisted Pronunciation Training (CAPT).
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2018
300 $a 162 p.
500 $a Source: Dissertation Abstracts International, Volume: 80-04(E), Section: A.
500 $a Adviser: Kenneth Kelch.
502 $a Thesis (Ed.D.)--Alliant International University, 2018.
520 $a This study investigated a computer-assisted pronunciation training (CAPT) software that utilized automatic speech recognition (ASR) and accent conversion technology to improve pronunciation of second language learners. Such speech processing method is capable of addressing the typical shortcoming of ASR technology for second language pronunciation training, which is providing meaningful corrective feedback. By transforming foreign accented utterances into their native counterparts, the learners are presented with the meaningful corrective feedback in form of the ideal "golden speaker" to imitate i.e. learners' own voice, but with a native accent.
520 $a Thirty-six student participants were involved in the treatment group of this current study, consisting of both male and female university students who were enrolled in an oral skills course in an undergraduate English Program. For the treatment, they worked on a CAPT tool that utilized ASR and AC to provide the participants with corrective feedback in form of their accent free voices. A comparison group was also used and consisted of 36 students who were enrolled in the same course but worked on a different type of CAPT tool. Two trained raters took part in listening to and rating each monologue completed for the pretest, posttest and comparison data.
520 $a The data collection consisted of the ratings of the monologues by the two raters. A questionnaire also collected the student participants' perception of the treatment they received. Another questionnaire was also utilized to collect the perceptions of 104 ESL and 106 EFL participants regarding the non-native accent stigma. Findings showed preliminary statistical significance in regards to improved pronunciation for the treatment group. Additional results also showed no statistical differences in the rater scores between the control group and the experimental posttest scores. The results from the stigma questionnaire also confirmed a high level of Stigma in ESL setting; however, EFL setting did not report on stigma as intensely as ESL setting. The participants' perceptions regarding the treatment were favorable also and indicated that the participants regarded the treatment as beneficial for their pronunciation.
590 $a School code: 1634.
650 4 $a English as a second language. $3 516208
650 4 $a Foreign language education. $3 3172512
650 4 $a Educational technology. $3 517670
650 4 $a Higher education. $3 641065
690 $a 0441
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690 $a 0745
710 2 $a Alliant International University. $b Education. $3 2095428
773 0 $t Dissertation Abstracts International $g 80-04A(E).
790 $a 1634
791 $a Ed.D.
792 $a 2018
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13421734