基于ESP32平台的AI语音系统教学案例设计  

Design of AI Voice System Teaching Cases Based on ESP32 Platform

作　　者：王浩[1] Wang Hao(Artificial Intelligence College,Suzhou Chien-Shiung Institute of Technology,Taicang 215411,China)

机构地区：[1]苏州健雄职业技术学院人工智能学院,太仓215411

出　　处：《办公自动化》2024年第24期13-15,共3页Office Informatization

摘　　要：随着人工智能和物联网技术的飞速发展,智能语音助手已成为日常生活中的重要辅助工具,在智能家居、穿戴设备等领域展现广阔的应用前景。文章针对ESP32硬件平台的高性能、低成本的特点,设计一套基于ESP32平台的AI智能语音系统教学案例,通过ESP32平台WiFi无线连接云端语音识别和语音合成服务器以及AI大语言模型服务器,确保语音助手在处理速度和响应精度上的性能表现。实验结果表明:AI智能语音助手在语音识别准确率、响应时间和用户满意度等关键指标上均有显著提升。With the rapid development of artificial intelligence(AI)and Internet of Things(IoT)technologies,intelligent voice assistants have become important auxiliary tools in daily life,showing broad application prospects in smart homes,wearable devices,and other fields.This paper designs a teaching case for an AI voice system based on the ESP32 platform,leveraging its high performance and low cost.It connects wirelessly via WiFi to cloud-based voice recognition and synthesis servers as well as large language model servers,ensuring performance in terms of processing speed and response accuracy.Experimental results show that the AI intelligent voice assistant has significantly improved in key metrics such as voice recognition accuracy,response time,and user satisfaction.

关 键 词：ESP32平台 大语言模型 语音助手 

分 类 号：TN912.3[电子电信—通信与信息系统] TP18[电子电信—信息与通信工程]