Gujarati Language Speech Recognition System for Identifying Smartphone Operation Commands
Published: 2015
Author(s) Name: Jigisha K. Patel, Pritesh N. Patel, Paresh V. Virparia |
Author(s) Affiliation: Sardar Patel University, Surat, Gujarat, India
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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
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