Fuzzy Logic based NAM Speech Recognition for Tamil Syllables

V  Prabhu   and G  Gunasekaran

doi:10.17485/ijst/2016/v9i1/85763

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Fuzzy Logic based NAM Speech Recognition for Tamil Syllables

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2016/v9i1/85763

Year: 2016, Volume: 9, Issue: 1, Pages: 1-12

Original Article

Fuzzy Logic based NAM Speech Recognition for Tamil Syllables

V. Prabhu^1* and G. Gunasekaran²

¹Department of Electronics and Communication Engineering, MAHER Deemed University, Chennai – 600 078, Tamil Nadu, India; [email protected]²Meenakshi Engineering College, Chennai – 600078, Tamil Nadu, India

*Author For Correspondence
V. Prabhu
Department of Electronics and Communication Engineering, MAHER Deemed University, Chennai – 600 078, Tamil Nadu, India; [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Background/Objectives: In this paper, we propose the speech recognition of tamil words from dump mute persons with NAM sensor. Methods/Statistical analysis: The NAM sensor collects the speech signal of the tamil words frequently used in day-to-day life. These frequently used words are classified using fuzzy logic, based on syllables and the words are recognized. Findings: Until now, the NAM speech recognition was implemented only for vowels. From the 50 sample of speech sound, we attained 85% of accuracy in recognition. Application/Improvements: System helps in recognizing the tamil words from dump mute persons.

Keywords: Fuzzy Logic, NAM Sensor, Syllable, Speech Recognition, Tamil Words