TY  - JOUR
TI  - Comparative Study of One Dimensional and Two Dimensional Dynamic Time Warping
AU  - Swathika R
AU  -  Geetha K
JO  - International Journal of Scientific Research in Computer Science, Engineering and Information Technology
PB  - Technoscience Academy
DA  - 2017/12/31
PY  - 2017
DO  - https://doi.org/10.32628/IJSRCSEIT
UR  - https://ijsrcseit.com/CSEIT172684
VL  - 2
IS  - 6
SP  - 288	
EP  - 294
AB  - 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.