ログイン 新規登録
言語:

WEKO3

  • トップ
  • ランキング
To
lat lon distance
To

Field does not validate



インデックスリンク

インデックスツリー

メールアドレスを入力してください。

WEKO

One fine body…

WEKO

One fine body…

アイテム

  1. 研究報告
  2. 音声言語情報処理(SLP)
  3. 2024
  4. 2024-SLP-151

Generating Japanese-accented English voices of 3 types according to the listening proficiency of Japanese ESL learners

https://ipsj.ixsq.nii.ac.jp/records/232557
https://ipsj.ixsq.nii.ac.jp/records/232557
d04bf2f3-f857-4180-a412-c162a94719f3
名前 / ファイル ライセンス アクション
IPSJ-SLP24151087.pdf IPSJ-SLP24151087.pdf (1.3 MB)
Copyright (c) 2024 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG.
SLP:会員:¥0, DLIB:会員:¥0
Item type SIG Technical Reports(1)
公開日 2024-02-22
タイトル
タイトル Generating Japanese-accented English voices of 3 types according to the listening proficiency of Japanese ESL learners
タイトル
言語 en
タイトル Generating Japanese-accented English voices of 3 types according to the listening proficiency of Japanese ESL learners
言語
言語 eng
キーワード
主題Scheme Other
主題 SP3
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_18gh
資源タイプ technical report
著者所属
Department of Information Science, Faculty of Science, Kochi University
著者所属
Department of Information Science, Faculty of Science, Kochi University
著者所属
Department of Information Science, Faculty of Science, Kochi University
著者所属(英)
en
Department of Information Science, Faculty of Science, Kochi University
著者所属(英)
en
Department of Information Science, Faculty of Science, Kochi University
著者所属(英)
en
Department of Information Science, Faculty of Science, Kochi University
著者名 Kiyotada, Mori

× Kiyotada, Mori

Kiyotada, Mori

Search repository
Yasuo, Miyoshi

× Yasuo, Miyoshi

Yasuo, Miyoshi

Search repository
Ryo, Okamoto

× Ryo, Okamoto

Ryo, Okamoto

Search repository
著者名(英) Kiyotada, Mori

× Kiyotada, Mori

en Kiyotada, Mori

Search repository
Yasuo, Miyoshi

× Yasuo, Miyoshi

en Yasuo, Miyoshi

Search repository
Ryo, Okamoto

× Ryo, Okamoto

en Ryo, Okamoto

Search repository
論文抄録
内容記述タイプ Other
内容記述 We have developed a voice generator for Japanese-accented English according to Japanese ESL learners’ listening skills. Three rules of Japanese-accented English for the voice generator are constructed by operating SSML based on features of English spoken by Japanese. Two evaluation experiments were conducted to confirm the clarity of the Japanese-accented English. The first experiment includes phoneme recognition and listening comprehension questions in American English. The second experiment includes the same content questions as the first set in three rules of Japanese-accented English. As a result, nine subjects showed results opposite to predictions: two of three rules generated by Japanese-accented English are more difficult to hear than native English.
論文抄録(英)
内容記述タイプ Other
内容記述 We have developed a voice generator for Japanese-accented English according to Japanese ESL learners’ listening skills. Three rules of Japanese-accented English for the voice generator are constructed by operating SSML based on features of English spoken by Japanese. Two evaluation experiments were conducted to confirm the clarity of the Japanese-accented English. The first experiment includes phoneme recognition and listening comprehension questions in American English. The second experiment includes the same content questions as the first set in three rules of Japanese-accented English. As a result, nine subjects showed results opposite to predictions: two of three rules generated by Japanese-accented English are more difficult to hear than native English.
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AN10442647
書誌情報 研究報告音声言語情報処理(SLP)

巻 2024-SLP-151, 号 87, p. 1-4, 発行日 2024-02-22
ISSN
収録物識別子タイプ ISSN
収録物識別子 2188-8663
Notice
SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
出版者
言語 ja
出版者 情報処理学会
戻る
0
views
See details
Views

Versions

Ver.1 2025-01-19 10:24:29.747896
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Cite as

エクスポート

OAI-PMH
  • OAI-PMH JPCOAR
  • OAI-PMH DublinCore
  • OAI-PMH DDI
Other Formats
  • JSON
  • BIBTEX

Confirm


Powered by WEKO3


Powered by WEKO3