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Isolated Word Recognition System based on LPC and DTW Technique

by Rohini B. Shinde, V. P. Pawar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 59 - Number 6
Year of Publication: 2012
Authors: Rohini B. Shinde, V. P. Pawar
10.5120/9549-4005

Rohini B. Shinde, V. P. Pawar . Isolated Word Recognition System based on LPC and DTW Technique. International Journal of Computer Applications. 59, 6 ( December 2012), 1-4. DOI=10.5120/9549-4005

@article{ 10.5120/9549-4005,
author = { Rohini B. Shinde, V. P. Pawar },
title = { Isolated Word Recognition System based on LPC and DTW Technique },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 59 },
number = { 6 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume59/number6/9549-4005/ },
doi = { 10.5120/9549-4005 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:04:51.201785+05:30
%A Rohini B. Shinde
%A V. P. Pawar
%T Isolated Word Recognition System based on LPC and DTW Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 59
%N 6
%P 1-4
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The Voice is a signal of infinite information. Digital processing of speech signal is very important for high and precise automatic voice recognition technology. Speech recognition has found its application on various aspects of our daily lives from automatic phone answering service to dictating text and issuing voice commands to computers. In this paper, we present the steps involved in the design of a speaker-independent speech recognition system for Marathi Language. We focus mainly on the pre-processing stage that extracts salient features of a speech signal and a technique called Dynamic Time Warping commonly used to compare the feature vectors of speech signals. These techniques are applied for recognition of isolated as well as connected words spoken. In his case the experiment is conducted in MATLAB to verify these techniques.

References
  1. Gopalakrishna Anumanchipalli, Rahul Chitturi, "Development of Indian Language Speech Databases for Large Vocabulary Speech Recognition Systems"
  2. F. Jelinek. L. R. Bahl and R. L. Mercer, "Design of a linguistics Statistical decoder for the recognition of continuous speech", IEEE Trans. Informat. Theory, Vol IT-21 PP. 250-250, 1975.
  3. Michael Grinm, Kristian Kroschel and Shrikanth Narayanan, "The vera AM Mittag German Audio-Visual Emotional Speech Database.
  4. "Isolated Word, Speech Recognition using Dynamic Time Warping. " Dynamic Time Warping. 14 June 2005.
  5. Jamel Price and Ali Eydgahi, "Design of Matlab®-Based Automatic Speaker Recognition Systems," 9th International Conference on Engineering Education T4J-1, July 23 – 28, 2006.
  6. Bharti W. Gawali, Santosh Gaikwad, Pravin Yannawar, Suresh C. Mehrotra, "Marathi Isolated Word Recognition System using MFCC and DTW Features", Proc. of Int. Conf. on Advances in Computer Science 2010
  7. Jiehua Dai Zhengzhe Wei, "Study and Implementation of Feature Extraction and Comparison In Voice Recognition"
  8. H. Ney. The use of a one-stage dynamic programming algorithm for connected word recognition. IEEE Transactions on Acoustics, Speech and Signal Processing, ASSP-32(2):263–271, April 1984.
  9. H. Ney. Modeling and search in continuous speech recognition. Proceedings of EUROSPEECH 1993, pages 491–498, 1993.
  10. H. Sakoe and S. Chiba, Dynamic Programming Algorithm Quantization for Spoken Word Recognition, IEEE Trans. Acoustics, Speech and Signal Proc. , Vol. ASSP-26, No. 1, pp. 43-49, Feb. 1978.
  11. Palden Lama and Mounika Namburu "Speech Recognition with Dynamic Time Warping using MATLAB" CS 525, SPRING 2010 – PROJECT REPORT
Index Terms

Computer Science
Information Sciences

Keywords

Feature extraction feature matching Linear predicted coefficient (LPC) Dynamic Time Wrapping(DTW). Speech Recognition System (SRS) Fast Fourier transform Marathi Language Speech Recognition System (MLSRS)

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