ENVIRONMENTAL-SOUND-CLASSIFICATION
Environmental sound classification is the preprocessing and the classification of the sounds obtained from the everyday environment. It is a crucial method to interpret the sound signals and use them in various applications. Our dataset includes a total of 2000 samples labeled under 50 specific types. To overcome this challenge, we tried various machine learning and deep learning methods such as CNN and CRNN. I also tried to augment the amount to data to provide more data to our model obtain higher performance from our models.
