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http://dx.doi.org/10.7583/JKGS.2012.12.1.123

Real-time Phoneme Recognition System Using Max Flow Matching  

Lee, Sang-Yeob (Dept. of Management Information System, Sahmyook University)
Park, Seong-Won (Industry Research Team, Korea Creative Content Agency)
Publication Information
Journal of Korea Game Society / v.12, no.1, 2012 , pp. 123-132 More about this Journal
Abstract
There are many of games using smart devices. Voice recognition is can be useful way for input. In the game, voice have to be quickly recognized, at the same time it have to be manipulated promptly as well. In this study, we developed the optimized real-time phoneme recognition using max flow matching that it can be efficiently used in the game field. Firstly, voice wavelength is transformed to FFT, secondly, transformed value is made by a graph in Z plane, thirdly, data is extracted in specific area, and then data is saved in database. After all the value is recognized using weighted bipartite max flow matching. This way would be useful method in game or robot field when researchers hope to recognize the fast voice recognition.
Keywords
Weighted Bipartite Max Flow Matching: WBM; Phoneme Recognition;
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Times Cited By KSCI : 3  (Citation Analysis)
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