Detection and Classification of Acoustic Scenes and Events

For intelligent systems to make best use of the audio modality, it is important that they can recognize not just speech and music, which have been researched as specific tasks, but also general sounds in everyday environments. To stimulate research in this field we conducted a public research challenge: the IEEE Audio and Acoustic Signal Processing Technical Committee challenge on Detection and Classification of Acoustic Scenes and Events (DCASE). In this paper, we report on the state of the art in automatically classifying audio scenes, and automatically detecting and classifying audio events. We survey prior work as well as the state of the art represented by the submissions to the challenge from various…

• AF
  Association for Applied Sport Psychology
• AN
  Agence Nationale de la Recherche

  Award: ANR-11-JS03-005-01
• EA
  Engineering and Physical Sciences Research Council

  Awards: EP/L020505/1, EP/H043101/1, EP/G007144/1, EP/H043101/1, EP/G007144/1, EP/L020505/1