Baoren Wang
ABSTRACT
In order to achieve voice operation of the Smart Water Supply System, the voice signal noise reduction algorithm in industrial environment is studied and simulated. The simulation results show that the algorithm can effectively improve the signal-to-noise ratio. Using WebRTC voice processing technology as the front-end tool, the experiment of integrating voice processing module into the Smart Water Supply System is carried out. The results show that the speech recognition system can achieve 98% recognition accuracy in real operation environment, and the response time of the device is not more than 1500ms, which can meet the requirements of the voice operation of the Smart Water Supply System.
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Index Terms
- Research on the application of voice interaction technology based on WebRTC in the Smart Water Supply System
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