INFORMATICA International Journal Main Page Editorial Board Abstracting/Indexing Instructions to Authors Subscription Information Contents Author Index Papers in Production		INFORMATICA, 2003, Vol. 14, No. 4, 487-496 © Institute of Mathematics and Informatics, ISSN 0868-4952 Word Endpoint Detection Using Dynamic Programming Antanas LIPEIKA, Joana LIPEIKIENE Institute of Mathematics and Informatics Akademijos 4, 2600 Vilnius, Lithuania E-mail: lipeika@ktl.mii.lt, joanal@ktl.mii.lt Abstract The paper deals with the use of dynamic programming for word endpoint detection in isolated word recognition. Endpoint detection is based on likelihood maximization. Expectation maximization approach is used to deal with the problem of unknown parameters. Speech signal and background noise energy is used as features for making decision. Performance of the proposed approach was evaluated using isolated Lithuanian words speech corpus. Keywords: endpoint detection, change-point detection, dynamic programming, likelihood maximization, expectation maximization To preview Lithuanian abstract see full article text To preview full article text in PDF format click here You could obtain free Acrobat Reader from Adobe
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