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Gujarati Language Speech Recognition System for Identifying Smartphone Operation Commands


Affiliations
1 Dept. of Computer Science, Sardar Patel University, India
     

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Natural Language Processing provides the facility of operating a system with speech and the system can interact with the user accordingly. Many speech recognition applications also provide the support for regional languages. In this paper, we would like to discuss the work that will add some facility to the state-of-the-art facility of speech recognition of Gujarati language. We have designed and developed a system that allows the users to give commands to their smartphone in Gujarati language for some basic facilities like calling, sending SMS, etc. The vocabulary includes total of 60 words consisting of Gujarati digits, some persons' name to be considered as a contact name and operational commands which yield the overall average recognition accuracy of 82.23%.

Keywords

Speech Recognition, Phoneme, Hidden Markov Model (HMM), Java Grammar, Lexeme.
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  • Gujarati Language Speech Recognition System for Identifying Smartphone Operation Commands

Abstract Views: 405  |  PDF Views: 2

Authors

Jigisha K. Patel
Dept. of Computer Science, Sardar Patel University, India
Pritesh N. Patel
Dept. of Computer Science, Sardar Patel University, India
Paresh V. Virparia
Dept. of Computer Science, Sardar Patel University, India

Abstract


Natural Language Processing provides the facility of operating a system with speech and the system can interact with the user accordingly. Many speech recognition applications also provide the support for regional languages. In this paper, we would like to discuss the work that will add some facility to the state-of-the-art facility of speech recognition of Gujarati language. We have designed and developed a system that allows the users to give commands to their smartphone in Gujarati language for some basic facilities like calling, sending SMS, etc. The vocabulary includes total of 60 words consisting of Gujarati digits, some persons' name to be considered as a contact name and operational commands which yield the overall average recognition accuracy of 82.23%.

Keywords


Speech Recognition, Phoneme, Hidden Markov Model (HMM), Java Grammar, Lexeme.

References