Speech Recognition: A Review of Literature
International Journal of Engineering Trends and Technology (IJETT) | |
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© 2016 by IJETT Journal | ||
Volume-37 Number-6 |
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Year of Publication : 2016 | ||
Authors : Kirandeep Singh |
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DOI : 10.14445/22315381/IJETT-V37P254 |
Citation
Kirandeep Singh"Speech Recognition: A Review of Literature", International Journal of Engineering Trends and Technology (IJETT), V37(6),302-310 July 2016. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
Speech recognition is a process of identifying what a person speaks into a mike or any other similar hardware and reflects its meaning in any required form such as text, image or any event. This thesis provides a description of implementation of Speaker Independent Isolated Punjabi and English Digits Recognition system. The system is developed by using two different techniques, first is pattern based technique (DTW (Dynamic Time Wrapping)) and second is statistical based technique (HMM (Hidden Markov Model)). The system uses the Mel Frequency Cepstral Coefficients (MFCCs) technique for the purpose of features extraction. The developed system works for Punjabi as well as English digits recognition.
References
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Keywords
Speech Recognition, Acoustic Vector, Mel-Frequency Cepstrum Coefficients, Hidden Markov Model, Fast FourierTransform.