Gujrati Speech Recognition Using Cellular Automata Algorithm

Authors

  • Vidya Gangadhar Dahake  Department of ECE, Sri Satya Sai University of Technology & Medical Sciences, Sehore, Madhya Pradesh, India
  • Dr. Jagdish D. Kene  Department of ECE, RCOEM, Nagpur, Maharashtra, India

Keywords:

Speech enhancement, CA algorithm, Gujarati character, Feature Extraction, LPC, MFCC processor, pitch detection, Gujarati character

Abstract

The speech is primary mode of communication among human being and also the most natural and efficient form of exchanging information among human in speech. Speech Recognition can be defined as the process of converting speech signal to a sequence of words by means Algorithm implemented as a computer program. Speech processing is one of the exciting areas of signal processing. The goal of speech recognition area is to develop technique and system to develop for speech input to machine based on major advanced in statically modeling of speech, automatic speech recognition today find widespread application in task that require human machine interface such as automatic call processing. Communication among the human being is dominated by spoken language, therefore it is natural for people to expect speech interfaces with computer which can speak and recognize speech in native language. Machine recognition of speech involves generating a sequence of words best matches the given speech signal. The cellular automata algorithm is used for speech enhancement and reduction in noise. The researcher has studied the different Gujarati character from their pronunciation point. The main objective of the research is to dictate the Gujarati character pronounced by the user.

References

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Published

2021-04-10

Issue

Section

Research Articles

How to Cite

[1]
Vidya Gangadhar Dahake, Dr. Jagdish D. Kene, " Gujrati Speech Recognition Using Cellular Automata Algorithm, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 9, Issue 1, pp.1102-1107, March-April-2021.