Extraction of Paralinguistic Information by Means of Speech Analysis of Teacher's Utterance in Class

• ARIGA Tohru

  College of Education, Tamagawa University

• KlSHI Toshiyuki

  Faculty of Human Siences, Waseda University

• KlKUCHI Hideaki

  Faculty of Human Siences, Waseda University

• NOJIMA Eiichiro

  Faculty of Human Siences, Waseda University

Bibliographic Information

Other Title

• 授業における教師の発話の音声分析によるパラ言語情報の抽出
• ジュギョウ ニ オケル キョウシ ノ ハツワ ノ オンセイ ブンセキ ニ ヨル パラ ゲンゴ ジョウホウ ノ チュウシュツ

Abstract

The aim of this research is to extract the paralinguistic information from the natural conversational speech using Maekawa's experimental method. The results of the experiment are as follows: (1) Maekawa's experimental method is also effective in extracting categories of paralinguistic information from spontaneous speech. (2) The categories of characteristic paralinguistic information extracted have not been defined in traditional categorical analysis. These categories are characterized by the tendency not to directly instruct, warn or hurry children, but rather to use softer, less direct expressions that take the child's independence into consideration. It may in the future be possible to develop category systems for speech analyses of class conversations.

Journal

• Japan Journal of Educational Technology

  Japan Journal of Educational Technology 32 (1), 13-21, 2008

  Japan Society for Educational Technology

Keywords

• PARALINGUISTIC INFORMATION
• SPEECH ANALYSIS
• SPONTANEOUS SPEECH
• PITCH CONTOUR

Details

• CRID: 1390001205228423424
• NII Article ID: 110006792151
• NII Book ID: AA11964147
• DOI: 10.15077/jjet.kj00004960849
• ISSN: 21896453
• ISSN: 13498290
• NDL BIB ID: 9552349
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I9552349
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed