Presentation 2020-09-10
Development of a Program for the Autonomous Learning of Japanese Prosody Using Python and Julius
Tomoyuki Ishiyama,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This presentation examined a prototype program, written in Python, for the autonomous learning of Japanese prosody. Some libraries of Python were used to implement speech recording, playback functions, and pitch display functions. In addition, Speech Segmentation Toolkit using Julius was used to implement phoneme annotation. Consequently, by combining these functions, users can analyze and compare two speeches in this program. Furthermore, users can set any speech file as the target, and this program ensures high expandability. Thus, this program can provide the wide supports according to the learners' needs.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Japanese language education / Prosody / Autonomous learning / Python / Julius
Paper # ET2020-21
Date of Issue 2020-09-03 (ET)

Conference Information
Committee ET
Conference Date 2020/9/10(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Japan Advanced Institute of Science and Technology
Topics (in Japanese) (See Japanese page)
Topics (in English) Learning Platform, etc.
Chair Hideyuki Suzuki(Ibaraki Univ.)
Vice Chair Yasuhiro Fujihara(Hyogo College of Medicine)
Secretary Yasuhiro Fujihara(Soka Univ.)
Assistant Ryo Oonuma(Fukushima Univ.) / Sho Yamamoto(Kinki Univ.)

Paper Information
Registration To Technical Committee on Educational Technology
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Development of a Program for the Autonomous Learning of Japanese Prosody Using Python and Julius
Sub Title (in English)
Keyword(1) Japanese language education
Keyword(2) Prosody
Keyword(3) Autonomous learning
Keyword(4) Python
Keyword(5) Julius
1st Author's Name Tomoyuki Ishiyama
1st Author's Affiliation The Japan Foundation Japanese-Language Institute, Urawa(JF)
Date 2020-09-10
Paper # ET2020-21
Volume (vol) vol.120
Number (no) ET-167
Page pp.pp.63-68(ET),
#Pages 6
Date of Issue 2020-09-03 (ET)