Presentation 2014-02-26
Proposal of a Speech-enabled Parallel-text Retrieval Method for Smooth Multilingual Communication Support
Taku FUKUSHIMA, Atsuhiko KAI,
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Abstract(in English) Recently, worldwide globalization has helped to increase communication among people with different native languages. However, accurate information sharing in multiple languages is currently inadequate. This problem appears conspicuously in the medical field, during emergencies, and so on. To solve this problem, parallel-text has been used for accurate multilingual communication. Parallel-text is able to support accurate information sharing. There are parallel-text creating projects. Moreover, there are retrieval of parallel-text using speech recognition for smooth input. However, existing retrieval task of parallel-text using speech recognition has placed a burden on users. To resolve this problem, we have proposed a speech-enabled parallel-text retrieval method. Our proposed method verifies a retrieved text with user's utterance after the parallel-text retrieval using mora-unit based statistics derived from speech recognition hypotheses. Hence, our proposed method provides more pertinent results.
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Keyword(in English) parallel text / speech recognition / forced alignment / multilingual communication support
Paper # AI2013-42
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Committee AI
Conference Date 2014/2/19(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Proposal of a Speech-enabled Parallel-text Retrieval Method for Smooth Multilingual Communication Support
Sub Title (in English)
Keyword(1) parallel text
Keyword(2) speech recognition
Keyword(3) forced alignment
Keyword(4) multilingual communication support
1st Author's Name Taku FUKUSHIMA
1st Author's Affiliation Graduate School of Engineering, Shizuoka University()
2nd Author's Name Atsuhiko KAI
2nd Author's Affiliation Graduate School of Engineering, Shizuoka University
Date 2014-02-26
Paper # AI2013-42
Volume (vol) vol.113
Number (no) 441
Page pp.pp.-
#Pages 6
Date of Issue