Sound Event Localization and Detection of Overlapping Sources Using Convolutional Recurrent Neural Networks

@article{Adavanne2019SoundEL,
  title={Sound Event Localization and Detection of Overlapping Sources Using Convolutional Recurrent Neural Networks},
  author={Sharath Adavanne and Archontis Politis and Joonas Nikunen and Tuomas Virtanen},
  journal={IEEE Journal of Selected Topics in Signal Processing},
  year={2019},
  volume={13},
  pages={34-48}
}
In this paper, we propose a convolutional recurrent neural network for joint sound event localization and detection (SELD) of multiple overlapping sound events in three-dimensional (3-D) space. [] Key Method As the first output, the sound event detection (SED) is performed as a multi-label classification task on each time frame producing temporal activity for all the sound event classes.

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