"语音识别技术在功能测试系统中的应用研究"

in the production process of appliances to ensure the quality and performance. Speech recognition technology plays a vital role in automating the testing process by enabling the system to understand and respond to verbal commands. This research paper focuses on the application of speech recognition technology in feature functional test systems. The study explores the use of techniques such as vector quantization and dynamic time warping to improve the accuracy and efficiency of speech recognition in the testing environment. The research also investigates the integration of speech recognition technology with LabVIEW software to create a stable and reliable testing system. The results of the study demonstrate that speech recognition technology can significantly enhance the functionality of feature functional test systems. By enabling verbal commands to control the testing process, the technology streamlines operations and reduces the need for manual input. This not only improves the speed and accuracy of testing but also enhances the overall user experience. In conclusion, the research highlights the importance of integrating speech recognition technology into feature functional test systems to optimize performance and ensure system stability. By leveraging the capabilities of this technology, appliances can be tested more efficiently and effectively, leading to higher quality products and greater customer satisfaction. The use of speech recognition technology in testing systems represents a significant advancement in the field of artificial intelligence, with far-reaching implications for the future of appliance manufacturing and human-machine interaction.