Comparison of Isolated Digit Recognition Techniques based on Feature Extraction

With technological advancement telephonic and electronic transactions have increased manifold. Digit recognition plays an important role in such communication. It is also useful in security applications. This paper proposes to implement and compare some popular algorithms used for isolated digit rec...

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Bibliographic Details
Published inInternational journal of electronics, communication and soft computing science and engineering Vol. 4; p. 272
Main Authors Nair, Sreeja R, Shah, Milind S
Format Journal Article
LanguageEnglish
Published Amravati International Journal of Electronics, Communication and Soft Computing Science and Engineering 01.01.2015
Subjects
Algorithms
Computer information security
Digits
Electronics
Feature extraction
Feature recognition
Recognition
Soft computing
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Summary:With technological advancement telephonic and electronic transactions have increased manifold. Digit recognition plays an important role in such communication. It is also useful in security applications. This paper proposes to implement and compare some popular algorithms used for isolated digit recognition. Two feature extraction techniques namely linear predictive cepstral coefficients (LPCC) and mel frequency cepstral coefficients (MFCC) are implemented for a speaker dependent recognition system. The results obtained for these algorithms are perused and conclusions are drawn.
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ISSN:2277-9477