Analysis of communicative phrase prosody based on linguistic modalities of constituent words

Kazuma Takada, Hideharu Nakajima, Yoshinori Sagisaka

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

In this paper, phrase prosody is analyzed based on linguistic modalities of constituent words for communicative speech synthesis. Since Japanese final particles and auxiliaries play crucial roles to indicate speaker's intention and attitudes as modality differences, Japanese phrase sets showing different degree of the speaker's judgment were employed. Communicative/reading speech data were compared over 5 kinds of modality of epistemic judgment (uncertainty of what the speaker said) and 8 kinds of modality of evaluative judgment (what the speaker wishes listeners to be). These modality differences were quantified in 6-point Semantic Differential (SD) scales. The corresponding phrase communicative/reading prosody differences were measured by the F0 rising in the phrase final mora. Statistical analysis showed negative correlation value between F0 rising in the phrase final mora and SD about judgment only in communicative prosody but not in reading prosody. These results support the communicative prosody control possibilities from the modality information embedded in constituent words.

本文言語English
ホスト出版物のタイトル2018 International Joint Symposium on Artificial Intelligence and Natural Language Processing, iSAI-NLP 2018 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728101644
DOI
出版ステータスPublished - 2018 7 2
イベント2018 International Joint Symposium on Artificial Intelligence and Natural Language Processing, iSAI-NLP 2018 - Pattaya, Thailand
継続期間: 2018 11 152018 11 17

出版物シリーズ

名前2018 International Joint Symposium on Artificial Intelligence and Natural Language Processing, iSAI-NLP 2018 - Proceedings

Conference

Conference2018 International Joint Symposium on Artificial Intelligence and Natural Language Processing, iSAI-NLP 2018
国/地域Thailand
CityPattaya
Period18/11/1518/11/17

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ サイエンスの応用
  • コンピュータ ビジョンおよびパターン認識
  • ソフトウェア
  • 健康情報学

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