NDLI: Comparison of native and nonnative speakers' perspective in animated text visualization tool

Content Provider	IEEE Xplore Digital Library
Author	Syafikah Binti Samsudin, N. Mano, K.
Copyright Year	2015
Description	Author affiliation: Grad. Sch. of Eng. & Sci., Shibaura Inst. of Technol., Saitama, Japan (Syafikah Binti Samsudin, N.; Mano, K.)
Abstract	Media conversion technologies such as speech recognition and speech synthesis have gained a lot of attention in recent years. They are applied in various human communication tools through smart phones and personal computers such as in language learning system. However, the learner still have loss in naturalness pronunciation problem because of effects on mother tongue interference. Although the learner can realize that his/her speech is different from the trainer's, the learner still cannot detect or check the precise wrong part in their utterances speech. We indicate these differences by visualizing a learner's wrong and correct pronunciation with speech-to-animated text visualization tool. In this study, we focused on the media conversion process between speech prosodic information and animated text information by using AHP method as the mapping method. The pairwise comparison between both speech and text information were conducted and evaluated by Japanese native and nonnative speakers. Here, we investigated the comparison between native and nonnative speakers' perspective and determined the ideal matching elements between attributes of speech and text information.
Starting Page	1
Ending Page	6
File Size	2371501
Page Count	6
File Format	PDF
ISBN	9781479986392
ISSN	21593450
e-ISBN	9781479986415
DOI	10.1109/TENCON.2015.7372934
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-01
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech Speech analysis Visualization Pragmatics Data visualization Speech processing Image color analysis Nonlinguistic information Animated text Speech visualization Paralinguistic information
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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