Cure Dataset: Ladder Networks for Audio Event Classification

@article{Dubey2019CureDL,
  title={Cure Dataset: Ladder Networks for Audio Event Classification},
  author={Harishchandra Dubey and Dimitra Emmanouilidou and Ivan Tashev},
  journal={2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)},
  year={2019},
  pages={1-6}
}
Audio event classification is an important task for several applications such as surveillance, audio, video and multimedia retrieval etc. There are approximately 340 million people with hearing loss who can’t perceive events happening around them. This paper establishes the CURE dataset which contains curated set of specific audio events most relevant for people with hearing loss. It is formatted as 5 sec sound recordings derived from the Freesound project. We propose a ladder network based… 
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