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.
Each of these models is a copy of a single SELDnet node with just minor adjustments so that it fits to the specific subtask and for the regular- ization purpose
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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.