Deep Learning-based Environmental Sound Classification (available)

Automatic sound classification attracts increasing research attention owing to its vast applications, such as robot navigation, environmental sensing, musical instrument classification, medical diagnosis, and surveillance. Sound classification tasks involve the extraction of acoustic characteristics from the audio signals and the subsequent identification of different sound classes. In this project, we will explore diverse deep neural networks for sound classification, in view of their enhanced capabilities in audio representation. The proposed networks will be evaluated using diverse environmental sound data sets.