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MTF-CRNN: Multiscale Time-Frequency Convolutional Recurrent Neural Network For Sound Event Detection
2020
IEEE Access
To reduce neural network parameter counts and improve sound event detection performance, we propose a multiscale time-frequency convolutional recurrent neural network (MTF-CRNN) for sound event detection. Our goal is to improve sound event detection performance and recognize target sound events with variable duration and different audio backgrounds with low parameter counts. We exploit four groups of parallel and serial convolutional kernels to learn high-level shift-invariant features from the
doi:10.1109/access.2020.3015047
fatcat:hzox2myax5gapo4so5wthrcd4q