1999 Fiscal Year Final Research Report Summary
Study on Development of Language Learning System for Japanese Speech Using Acoustic Analysis and CD-ROM
| Project/Area Number |
09558022
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 展開研究 |
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| Research Field |
Japanese language education
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| Research Institution | IWATE UNIVERSITY |
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Principal Investigator |
JOUJI Miwa IWATE UNIVRSITY, Faculty of Engineering, ASSOCIATE PROFESSOR, 工学部, 助教授 (60125664)
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| Co-Investigator(Kenkyū-buntansha) |
MIZUSHIMA Yasutaka DATEL COMPANY, President, 技術部・(研究職兼任)取締役社長
SATO Shigeru TOHOKU UNIVERSITY, PROFESSOR, 留学生センター, 教授 (40137592)
IMAISHI Motohisa HIROSHIMA WOMEN'S UNIVERSITY, PROFESSOR, 文学部, 教授 (80093574)
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| Project Period (FY) |
1997 – 1999
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| Keywords | CALL / Language Learning / Japanese / Speech / Acoustic Analysis / CD-ROM / Internet / CAI |
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| Research Abstract |
We have developed two systems of computer assisted language learning (CALL) for Japanese speech using acoustic analysis and CD-ROM. The systems are called as LESSON/J (Japanese Language Education System for Speech on an On-demand Network) and PAL/J (Portable Advanced Learning System for Japanese).
The on-demand network system is now available on the World Wide Web server, the URL is http://sp.cis.iwate-u.ac.jp/sp/lesson/j/index.html, since in June 1997. The network system was accessed about 60,000 times from 80 countries for three years. The rate of the accesses from foreign countries is about 70%. The top 5 countries for accesses in order are U.S.A, Canada, Italy. Australia and Korea.
The portable system is consisting of a general notebook computer, an audio headphone and CD-ROM. The portable system is used by foreign students in a lecture room, student's home and other places. Some learner is ashamed of his wrong answer in the lecture rooms, but is not in private using the portable system. It is one of advantages for the portable language learning system.
The evaluation systems of pronunciation for Japanese accent and special morae are also developed using acoustic analysis method. In the system for special morae, the duration length of special mora of the learner was automatically estimated using a method of dynamic programming in the speech recognition technology. Then, quality level of the special mora is calculated using a new normalized function for the duration length. The type of accent is automatically recognized using relative position of accent and decay of fundamental frequency.
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