通过集成自动语音识别来增强空中交通管制通信系统:模型,应用和性能评估
Zhuang Wang1, Peiyuan Jiang1, Zixuan Wang1
1College of Air Traffic Management, Civil Aviation Flight University of China, Guanghan 618307, China.
Sensors (Basel, Switzerland)
|July 27, 2024
概括
自动语音识别 (ASR) 系统可以显著减少空中交通管制员的工作量. 本综述详细介绍了当前在空中交通管制 (ATC) 中的ASR研究,并提出了改进的评估方法,用于未来的进展.
科学领域:
- 计算机科学 计算机科学
- 航空航天工程 航空航天工程
背景情况:
- 空中交通管制 (ATC) 在很大程度上依赖于控制员和飞行员之间的无线电语音通信.
- 集成自动语音识别 (ASR) 提供了减少工作量和增强ATC操作的潜力.
研究的目的:
- 为ATC通信系统提供当前ASR应用的全面审查.
- 为ATCASR系统提出一个更准确的评估方法.
- 确定未来的ATC ASR研究方向.
主要方法:
- 对现有的空中管制机构,ASR模型,评估指标和应用场景的文献审查.
- 对ASR通信传感和深度学习方面的进展进行分析.
- 开发一个针对ATC的量身定制的评估方法.
主要成果:
- 在ATC ASR.目前的研究格局的概述.
- 关于考虑新技术的增强评估方法的建议.
- 确定关键挑战和未来研究建议.
结论:
- ASR技术对于提高空中交通管制效率和安全至关重要.
- 拟议的方法可以指导研究人员开发更有效的ATCASR系统.
- 这项工作是ATC领域ASR研究的路线图.
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