基于语音控制的智能家居系统的设计与实现

采用模块化设计,以C语言编程,由LD3320A语音识别芯片以及89C52单片机采集和处理信号,完成人机对话。对各降噪方法在安静和嘈杂环境下进行测试,结果表明,添加垃圾语句语音识别准确率最高。所得结果对于实现非特定人识别的智能语音家居各项功能具有重要意义。

Using modular design, C language programming, voice identification chip LD3320 A and 89 C52 MCU acquisition and processing signals, the completion of man-machine dialogue. The test results show that the speech identification accuracy of the added garbage statement is the highest. The results are of great significance for the realization of various functions of smart home with non-specific identification.

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