通过TTS(文本到语音)功能提高学生在单词重音中的发音:基于谷歌翻译应用程序

Ideas Pub Date : 2023-08-13 DOI:10.24256/ideas.v11i1.3321
Yuliana Sain, Juan Cobar
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引用次数: 0

摘要

本研究旨在了解在2021/2022学年,通过文本转语音软件对斯曼1 Kaledupa 11年级学生在单词重音方面的发音改善情况。本研究的样本为22名学生,本研究采用目的抽样。本研究采用预实验研究设计,共进行了三次实验以得出本研究的结果。测试前和测试后设计包括5次会议,包括治疗。本研究的前测是获取学生的先验知识,后测是测量研究者在治疗阶段应用或使用文本转语音软件后学生的改善情况。这项研究的发现表明,使用文本转语音软件后,学生的发音有了显著的改善。治疗前的平均评分为32.04分,治疗后的平均评分为60分。改善率为87.26%。t检验值(6.106178)高于t表值(2.07961)。H1被接受,H0被拒绝,可以看出学生在单词重音方面的发音有了明显的提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving Students’ Pronunciation in Word Stress through TTS (Text To Speech) Feature: On a Google Translate Application
This research aimed to find out the improvement of students’ pronunciation in word stress through text-to-speech software at the 11th-grade students of SMAN 1 Kaledupa, in the academic year of 2021/2022. The samples of this study were 22 students, and purposive sampling was applied for this research. This research used a pre-experimental research design where there were three sessions conducted to reach the result of this research. Pre-test and post-test design consisted of 5 meetings, including the treatments. The pre-test in this research is to obtain students' prior knowledge, and the post-test is to measure students’ improvement after the researcher applies or uses the text-to-speech software in the treatment session. The finding of this research showed a significant improvement in students’ pronunciation after the use of text-to-speech software. This was proven by the mean score before treatment was 32.04, and the mean score after treatment has given was 60. The percentage of the improvement was 87.26%. The t-test value (6.106178) was higher than the t-table value (2.07961). H1 is accepted while H0 is rejected, and it can be concluded that there is a significant improvement in students’ pronunciation in word stress.
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