Fully Convolutional DenseNet based polyphonic sound event detection

Abstract

As a technology of context analysis, the detective method of polyphonic sound event detection has a widespread prospect of application. In this paper, a detective method of polyphonic sound event were proposed to resolve the challenge in IEEE DCASE2017 task 3 based on full convolutional DenseNet. Relevant results illustrated that the method is higher in F-score and lower in ER than the baseline method proposed by IEEE DCASE2017 based on DNNs, and also get higher performance-7.4% higher in F-score and 3% lower in ER than the best method in IEEE DCASE2017 challenge based on CRNN.