Adaptation and Optimization of Automatic Speech Recognition (ASR) for
  the Maritime Domain in the Field of VHF Communication
Emin Cagatay Nakilcioglu Maximilian Reimann Ole John
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.