Intelligent Robot English Speech Recognition Method Based on Online Database

Yong Wu and Guicang Li
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Yong Wu: Faculty of English, Zhejiang Yuexiu University, Shaoxing, Zhejiang 312000, P. R. China
Guicang Li: ��Institute of Foreign Languages and Cultures, Zhejiang Yuexiu University, Shaoxing, Zhejiang 312000, P. R. China

Journal of Information & Knowledge Management (JIKM), 2022, vol. 21, issue Supp02, 1-15

Abstract: In order to solve the problem of low accuracy of traditional English speech recognition, an intelligent robot English speech recognition method based on online database is proposed. A speech recognition device is installed on the intelligent robot as the hardware support for running the speech recognition method. The online English speech standard database is constructed to provide reference data for speech recognition. The real-time speech information is collected, and the speech signal is preprocessed by pre-emphasis, framing, windowing and other steps. According to the principle of speech signal generation, the features of speech signal are extracted, and the results of English speech recognition are obtained by similarity calculation and matching. Compared with the traditional recognition method, the experimental results show that the recognition rate of the optimised speech recognition method is improved by 1.3%, i.e. the recognition accuracy is improved.

Keywords: Online database; intelligent robot; English recognition; speech recognition (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1142/S0219649222400123

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