在工业5.0中使用语音辅助和自动机器学习的增强智能
Alexandros Bousdekis1, Mina Foosherian2, Mattheos Fikardos1
1Information Management Unit (IMU), Institute of Communication and Computer Systems (ICCS), National Technical University of Athens (NTUA), Athens, Greece.
Frontiers in artificial intelligence
|March 19, 2025
概括
这项研究将语音助理与自动机器学习 (AutoML) 集成为工业5.0.0中的增强智能. 该方法能够与机器学习管道进行语音交互,为制造设置提供实时洞察力.
科学领域:
- 人工智能的人工智能
- 人与计算机的交互
- 工业工程 工业工程 工业工程
背景情况:
- 现有的语音助理缺乏数据驱动的算法,依赖于知识管理和模拟.
- 语音助手在工业环境中的实际应用和现实生活评估是有限的.
- 增强型智能需要社会技术系统,人类和人工智能共同进化.
研究的目的:
- 建议和评估语音辅助技术与自动机器学习 (AutoML) 的整合.
- 在工业5.0背景下实现增强智能范式.
- 为了促进与机器学习管道的直观,基于语音的交互,以获得与任务相关的立即见解.
主要方法:
- 将语音转化为文本 (STT) 和文字转化为语音 (TTS) 技术与AutoML.com集成.
- 开发语音控制的交互与自动生成的机器学习 (ML) 管道.
- 用结构化方法在现实世界制造环境中评估拟议的方法.
主要成果:
- 拟议的语音辅助AutoML方法在实际制造环境中证明了其有效性.
- 与ML管道的实时语音交互为用户提供了即时的,可操作的见解.
- 该系统促进了更直观,更有效的人类-人工智能协作.
结论:
- 语音辅助和AutoML的整合是实现工业5.0中增强智能的可行策略.
- 这种方法通过实现与ML过程的无语音交互来增强人类-AI协作.
- 这些发现支持数据驱动,语音支持解决方案在工业应用中的有效性.
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