International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064




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Review Papers | Electronics & Communication Engineering | India | Volume 4 Issue 6, June 2015


Review on Speech Recognition Techniques

Sachin R Jaybhaye | Dr P. K. Srivastava


Abstract: Speech has evolved as a primary form of communication between humans. The advent of digital technology, gave us highly versatile digital processors with high speed, low cost and high power which enable researchers to transform the analog speech signals in to digital speech signals that can be scientifically studied. Achieving higher recognition accuracy, low word error rate and addressing the issues of sources of variability are the major considerations for developing an efficient Automatic Speech Recognition system. In speech recognition, feature extraction requires much attention because recognition performance depends heavily on this phase. In this paper, an effort has been made to highlight the progress made so far in the feature extraction phase of speech recognition system and an overview of technological perspective of an Automatic Speech Recognition system are discussed.


Keywords: Feature Extraction, Linear predictive coding LPC, Mel-Frequency Cestrum Coefficient MFCC, Speech Recognition, Vector Quantization VQ


Edition: Volume 4 Issue 6, June 2015,


Pages: 1204 - 1208

Review on Speech Recognition Techniques


How to Cite this Article?

Sachin R Jaybhaye, Dr P. K. Srivastava, "Review on Speech Recognition Techniques", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SUB155432, Volume 4 Issue 6, June 2015, 1204 - 1208, #ijsrnet

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