AI-Based DBMS Controlled Speech Recognition Model for Some Common Computing Commands

Abstract

Speech recognition has become an important part of the AI model. It plays a vital role in the correct function of different AI enabled devices that we see today. Many automobile industries use this voice recognition technology in their AI to develop modern voice enabled cars. To that end we have implemented a deep learning-based voice recognition model in the MySQL database to execute various DBMS command automatically through speech recognition by using intelligent Google Speech API and match-LSTM model. Our proposed model accept speech as input and by using intelligent Google Speech API service we construct MySQL database and perform training using match-LSTM. The latency rate and data transfer speed of this model is very fast because of its prior training approach. This type of methodical approach can be made in any DBMS systems to make it more convenient, smart and easy to use for normal user.

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