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Comparative Study of One Dimensional and Two Dimensional Dynamic Time Warping

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  • Swathika R
  • Geetha K

Abstract

Today's trend in Speech recognition applications include automatic answering machines, dictation systems, command control applications, speaker identification system etc. In this paper, early Patten matching technique DTW is studied used to find the similarity of speech data using MFCC and LPCC features. A small vocabulary containing command words used to test the already existing method in two ways. One-dimensional raw speech data of command words are considered as input the algorithm. In the second method, two-dimensional features of the same set of data were considered. Finally, these two methods were compared in terms of efficiency.

Suggested Citation

  • Swathika R & Geetha K, 2017. "Comparative Study of One Dimensional and Two Dimensional Dynamic Time Warping," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(6), pages 288-294, December.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i6:id:hcseit172684
    Note: Article URL: https://ijsrcseit.com/CSEIT172684
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