(ASC), targeting DCASE2019 task 1A. In general, the front-end process shows a
combination of three types of spectrograms: Gammatone (GAM), log-Mel and Constant Q
Transform (CQT). The back-end classification presents a joined learning model between
CDNN and CRNN. Our experiments over the development dataset of DCASE2019
challenge task 1A show a significant improvement, increasing 11.2% compared to …