基于车联网的ESP32模组在线语音识别控制系统设计

Design of the Online Speech Recognition Control System of ESP32 Module Based on Internet of Vehicles

随着人工智能技术的飞速发展,语音识别作为信息技术中人机接口的关键技术,已逐渐被广泛应用到车联网等领域,用户通过使用简单的语音命令可实现对车载内部硬件进行语音控制。本文设计一种基于ESP32模组通过在线谷歌语音识别,实现车内无线传感网络智能灯光控制设计方案。利用Python语言编程,调用谷歌语音识别API接口函数,实现在线语音识别转换为文本字符串,完成智能语音灯光控制功能,这样可解决用户在驾车过程中,无需用手动方式进行车内辅助设备控制。实验结果表明:该系统操作方便和可靠性强,具有一定的应用前景。

With the rapid development of artificial intelligence(AI)technology,speech recognition,as a key technology of man-machine interface in information technology,has been gradually and applied widely to the Internet of vehicles and other fields.Users can use simple voice commands to control the internal devices of intelligent vehicles.This paper designs a design scheme for intelligent lighting control of vehicle wireless sensor network through online Google speech recognition based on ESP32 module.Using Python programming language and call Google speech recognition API interface functions to achieve online speech recognition into text strings to realize the intelligent voice lighting control function.This can solve the user in the process of driving,do not need to use manual way to control the car auxiliary equipment.The result shows this system operation is convenient with higher reliability,and possesses a certain application prospect.