WIT Press


Vector Interpolation For Time Alignment In Speech Recognition

Price

Free (open access)

Paper DOI

10.2495/BT990391

Volume

23

Pages

6

Published

1999

Size

479 kb

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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