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This report presents the dataset and the evaluation setup of the Sound Event Localization & Detection (SELD) task for the DCASE 2020 Challenge.
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2019
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S. Adavanne, A. Politis, J. Nikunen, and T. Virtanen, “Sound event localization and detection of overlapping sources using convolutional recurrent neural networks,”
2019
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2019
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S. Adavanne, A. Politis, and T. Virtanen, “A multi-room reverberant dataset for sound event localization and detection,” in
2019
Cited alongside, same era.
Y. Cao, Q. Kong, T. Iqbal, F. An, W. Wang, and M. Plumbley, “Polyphonic sound event detection and localization using a two-stage strategy,” in
2019
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F. Grondin, I. Sobieraj, M. Plumbley, and J. Glass, “Sound event localization and detection using crnn on pairs of microphones,” in
2019
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H. Cordourier, P. Lopez Meyer, J. Huang, J. Del Hoyo Ontiveros, and H. Lu, “GCC-PHAT cross-correlation audio features for simultaneous sound event localization and detection (SELD) on multiple rooms,” in
2019
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2019
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S. P. Chytas and G. Potamianos, “Hierarchical detection of sound events and their localization using convolutional neural networks with adaptive thresholds,” in
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A. Perez-Lopez, E. Fonseca, and X. Serra, “A hybrid parametric-deep learning approach for sound event localization and detection,” in
2019
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A. Mesaros, S. Adavanne, A. Politis, T. Heittola, and T. Virtanen, “Joint measurement of localization and detection of sound events,” in
2019
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I. Trowitzsch, J. Taghia, Y. Kashef, and K. Obermayer, “The NIGENS general sound events database,”
2019
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