Phonology based Fuzzy Phoneme Recognition

8 Pages Posted: 14 Jun 2019

See all articles by Avnish Bora

Avnish Bora

Jodhpur Institute of Engineering & Technology - Department of Electronics & Communication Engineering

Jayashri Vajpai

M.B.M Engineering College - Department of Electrical Engineering

Sanjay B.C. Gaur

Jodhpur Institute of Engineering & Technology - Department of Electronics & Communication Engineering

Date Written: February 24, 2019

Abstract

Speech enhanced applications are fundamentally based on an effective separation and recognition of phonetic units. The variable nature of speech signal makes it challenging due to higher rate of variability in the phonetic units. This nature of variability is addressed with the help of Fuzzy Logic in this work for identification of phonemes. The feature parameters representing the speech signal variability in the work are Zero Crossing Rate (ZCR) and Short Term Energy (STE). The approach used in the presented work demonstrate to be more effective than other methods such as Artificial Neural Networks (ANN). A Fuzzy Logic model is tuned using features with various phonemes. Phonology based fuzzy decision logic is used to infer about phonetic units separation point. Phonetic analysis has been done for different spoken words of English language identify the vowel recognition.

Suggested Citation

Bora, Avnish and Vajpai, Jayashri and Gaur, Sanjay B.C., Phonology based Fuzzy Phoneme Recognition (February 24, 2019). Proceedings of International Conference on Sustainable Computing in Science, Technology and Management (SUSCOM), Amity University Rajasthan, Jaipur - India, February 26-28, 2019. Available at SSRN: https://ssrn.com/abstract=3358093 or http://dx.doi.org/10.2139/ssrn.3358093

Avnish Bora (Contact Author)

Jodhpur Institute of Engineering & Technology - Department of Electronics & Communication Engineering ( email )

India

Jayashri Vajpai

M.B.M Engineering College - Department of Electrical Engineering ( email )

India

Sanjay B.C. Gaur

Jodhpur Institute of Engineering & Technology - Department of Electronics & Communication Engineering ( email )

India

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