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Accent Conversion in Computer-Assisted Pronunciation Training (CAPT)
Abstract
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 L2 pronunciation training, which is providing meaningful corrective feedback. Thirty-six student participants were involved in the treatment group. For the treatment, they worked on a CAPT tool that utilized ASR and AC to provide the participants with corrective feedback. A comparison group was also used and consisted of 36 students but worked on a different type of CAPT tool. Two trained raters took part in rating each monologue completed for the pretest, posttest, and comparison data. 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.
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