Vector Interpolation For Time Alignment In Speech Recognition
Price
Free (open access)
Transaction
Volume
23
Pages
6
Published
1999
Size
479 kb
Paper DOI
10.2495/BT990391
Copyright
WIT Press
Author(s)
E.A. Yfantis and J.D. Elison
Abstract
Vector interpolation for time alignment in speech recognition E. A. Yfantis and J. D. Elison Department of Computer Science, University of Nevada, Las Vegas, 4505 S Mary/aWPM,, &w yzgaj, W 89734-407 9, (/&4 Email: yfantis@cs.unlv.edu and elisonj@cs.unlv.edu Abstract In this paper, a new algorithm for time alignment in speech recognition is presented. This new algorithm, Vector Interpolation, has a classification rate comparable to that of Dynamic Time Warping. While Vector Interpo- lation is able to match Dynamic Time Warping for recognition accuracy, it requires significantly less computation, making it much faster than DTW based algorithms. Both algorithms are presented and a comparison of the two is made. 1 Introduction Automatic speech recognition has applications in many areas. From contin- uous recognition for dictation systems to isolated word spotting systems for information retrieval and command and control, speech recognition is being used
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