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Sound Event Localization and Detection of Overlapping Sources Using Convolutional Recurrent Neural Networks
2019
IEEE Journal on Selected Topics in Signal Processing
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 (3D) space. The proposed network takes a sequence of consecutive spectrogram time-frames as input and maps it to two outputs in parallel. 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
doi:10.1109/jstsp.2018.2885636
fatcat:rlips2i22ndv7mi4a4k726vhr4