A consecutive ensemble of four CRNN models, predicting source count, then directions of arrival, then classes, achieves top results on the DCASE 2019 sound event localization and detection task.
This year, the task 3 from the IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and Events (DCASE 2019) [1] concerned the SELD prob- lem
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Sound source detection, localization and classification using consecutive ensemble of CRNN models
A consecutive ensemble of four CRNN models, predicting source count, then directions of arrival, then classes, achieves top results on the DCASE 2019 sound event localization and detection task.