It is estimated that one in every ten people is affected by hearing impairment. Sound Classification
challenge that is faced by the people of urban area to classify the sound from different sources
could be solved by creating a deep learning model which helps people in classifying the noise. From
personal security to critical surveillance, sound is a key element to develop the automated systems
for these fields. The ability of convolutional neural networks (CNN) to learn discriminative spectrotemporal
patterns makes them well suited to sound classification. Dataset used : UrbanSound8k.
Keywords: Deep Learning, Convolutional Neural Network, Spectrograms,UrbanSound8k,