Audio Events Detection in Noisy Embedded Railway Environments

@inproceedings{Marteau2020AudioED,
  title={Audio Events Detection in Noisy Embedded Railway Environments},
  author={Tony Marteau and Sitou Afanou and David Sodoyer and S{\'e}bastien Ambellouis and Fouzia Elbahhar},
  booktitle={EDCC Workshops},
  year={2020}
}
Ensuring passengers’ safety is one of the daily concerns of railway operators. To do this, various image and sound processing techniques have been proposed in the scientific community. Since the beginning of the 2010s, the development of deep learning made it possible to develop these research areas in the railway field included. Thus, this article deals with the audio events detection task (screams, glass breaks, gunshots, sprays) using deep learning techniques. It describes the methodology… 
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