Environmental Sound Classification using Deep Learning

In this project, a deep learning model for sound classification systems is being developed. The classification of sound is used to identify the sound category for brief audio recordings or snippets. Sound Classification has gained popularity recently due to its many applications. The systems employed in this project are the Convolution Neural Network (CNN) and Tensor Deep Stacking Network (TDSN). The systems are trained using spectrogram images of environmental noises.