Acoustic Scene Classification Using Convolutional Recurrent Neural Networks

This paper presents an application of a convolutional recurrent neural network (CRNN) for the task of acoustic scene classification (ASC). Convolutional layers of CRNN are used as high-level feature extractors and gated recurrent layers are used to model the long term temporal context of the acoustic samples. The developed methods are evaluated using the… CONTINUE READING