Comparative Study of One Dimensional and Two Dimensional Dynamic Time Warping

Authors(2) :-Swathika R, Geetha K

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.

Authors and Affiliations

Swathika R
Department of Computer Science, Bharathiar University, Coimbatore, Tamilnadu, India
Geetha K
Department of Computer Science, Bharathiar University, Coimbatore, Tamilnadu, India

Mel Frequency Cepstral Coefficient, Linear Predictive cepstral Co-efficient, Dynamic time warping

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Publication Details

Published in : Volume 2 | Issue 6 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 288-294
Manuscript Number : CSEIT172684
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Swathika R, Geetha K, "Comparative Study of One Dimensional and Two Dimensional Dynamic Time Warping", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.288-294, November-December-2017.
Journal URL : http://ijsrcseit.com/CSEIT172684

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