Earticle

초록

영어

In this study, “TTS” equipped with Ai((artificial intelligence) skills was used to focus on the automatic conversion of text language to speech language. In this theory, the analysis focused on the types of words that become voiceless, what is “TTS” and the input of words into “Ai’s TTS” and the preservation of speech language(mp3). A target <19words> is a word related to voiceless phonation (no vibration of vocal cords, omitted) for the pronunciation of “U” between “ku+sa line”, “ku+ta line”, and “ku+a･ka･ta･ha line”.In addition, we collected items that were difficult for Japanese learners to pronounce and listen to. Through the analysis, we noted whether this rule of voicelessness is properly reflected in Ai’s TTS, whether it is voiceless, not voiced, or weakened in the output of voice. As a result of a series of analyses, it is frustrating that the contents of the speech language itself cannot be displayed directly on this page.As a result of checking the theoretical pronunciation by inputting each word of the experiment into Ai’s TTS, nothing was wrong and it was surprisingly accurately reflected and audio output.This was a satisfactory result because it was an accuracy that could be used for Japanese language education. As for this, I would like those who teach Japanese language education to make effective use of Ai’s TTS to improve the learning environment.

목차

1. はじめに
2. 先行研究
3. 本論
3.1 無声音化する単語類
3.2 ｢TTS｣とは何か？
3.3 ｢AiのTTS｣への単語入力
3.4 音声言語(mp3)の保存
4. 結論
参考文献

키워드

저자

• 薛根洙 [ 설근수 | 全北大学校 日本学科 教授 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  일본언어문화 [Journal of japanese Language and Culture]

• 간기

  계간

• pISSN

  1598-9585

• 수록기간

  2002~2025

• 등재여부

  KCI 등재

• 십진분류

  KDC 730 DDC 495