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Increasing Quality of Maritime Communication through Intelligent Speech Recognition and Radio Direction Finding

机译:通过智能语音识别和无线电方向发现提高海上通信质量

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In the area of maritime rescue, the factor time in the event of an accident and the associated conduct of rescue operations is of fundamental importance. A difference in the arrival of the rescue forces from a few minutes can decide in the worst case between death or complete recovery of an injured person. First, this paper briefly addresses peculiarities of ship accidents and examines in particular communication-enhancing measures to avoid them. In this context, current developments in the field of automatic speech recognition by artificial intelligence are presented on the basis of the research project ARTUS - Automated Transcription of Maritime VHF Radio Communication for SAR Mission Coordination. Based on the technology used in the project to transcribe the content of maritime radio messages and to locate as well as identify vessels, its potential challenges and safety benefits are analyzed.
机译:在海上救援地区,事故发生的因子时间和救援行动的相关行为是至关重要的。救援部队从几分钟到达的差异可以在死亡或完全恢复受伤人员之间的最坏情况下决定。首先,本文简要介绍了船舶事故的特殊性,并审查特别是沟通的措施,以避免它们。在这种情况下,基于研究项目Artus - SAR任务协调的海洋VHF无线电通信的自动转录,介绍了人工智能自动语音识别领域的当前发展。基于该项目中使用的技术,以转录海上无线电信息的内容并定位以及识别船只,分析其潜在的挑战和安全益处。

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