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Detecting Sound Events Using Convolutional Macaron Net With Pseudo Strong Labels
By comparing with the top submission of the DCASE 2019 challenge, our system accuracy is also higher by 1. 8%.
Acoustic Scene Classification Using Bilinear Pooling on Time-liked and Frequency-liked Convolution Neural Network
Although works have been done in using HPSS as input representation for CNN model in ASC task, this paper further investigate the possibility on leveraging the separated harmonic component and percussive component by curating 2 CNNs which tries to understand harmonic audio and percussive audio in their natural form, one specialized in extracting deep features in time biased domain and another specialized in extracting deep features in frequency biased domain, respectively.
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