Automatic Speech Recognition Using Template Model for Man-Machine Interface
Abstract
Speech is a natural form of communication for human beings, and computers with the ability to understand speech and speak with a human voice are expected to contribute to the development of more natural man-machine interfaces. Computers with this kind of ability are gradually becoming a reality, through the evolution of speech recognition technologies. Speech is being an important mode of interaction with computers. In this paper Feature extraction is implemented using well-known Mel-Frequency Cepstral Coefficients (MFCC).Pattern matching is done using Dynamic time warping (DTW) algorithm.
Cite
@article{arxiv.1305.2959,
title = {Automatic Speech Recognition Using Template Model for Man-Machine Interface},
author = {Neema Mishra and Urmila Shrawankar and V M Thakare},
journal= {arXiv preprint arXiv:1305.2959},
year = {2013}
}
Comments
Pages: 05 Figures : 01 Tables : 03 Proceedings of the International Conference ICAET 2010, Chennai, India. arXiv admin note: text overlap with arXiv:1305.2847