Acoustic Scene Recognition with Deep Neural Networks ( DCASE challenge 2016 )

This work aims to discriminatively characterize sound in 15 common indoor and outdoor acoustic scenes by classifying audio recordings from the ongoing IEEE challenge on Detection and Classification of Acoustic Scenes and Events, and finds that deep learning models compare favorably to traditional models.