Manuscript Number : CSEIT172684
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.
Swathika R Mel Frequency Cepstral Coefficient, Linear Predictive cepstral Co-efficient, Dynamic time warping Publication Details Published in : Volume 2 | Issue 6 | November-December 2017 Article Preview
Department of Computer Science, Bharathiar University, Coimbatore, Tamilnadu, India
Geetha K
Department of Computer Science, Bharathiar University, Coimbatore, Tamilnadu, India
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