This paper introduces a multilingual automatic speech recognizer (ASR) for maritime radio communi-cation that automatically converts received VHF radio signals into text. The challenges of maritime radio communication are described at first, and the deep learning architecture of marFM consisting of audio processing techniques and machine learning algorithms is presented. Subsequently, maritime radio data of interest is analyzed and then used to evaluate the transcription performance of our ASR model for various maritime radio data.

翻译：本文介绍了一种面向海事无线电通信的多语言自动语音识别器（ASR），可自动将接收到的VHF无线电信号转换为文本。首先阐述了海事无线电通信面临的挑战，并介绍了由音频处理技术与机器学习算法构成的marFM深度学习架构。随后，对感兴趣的海事无线电数据进行分析，并用于评估所提ASR模型在不同海事无线电数据上的转录性能。