About this document

Sound Classification with Neural Networks by Kanak Arora is a document available to read on EtoBox.

The report details a project on classifying urban sounds using neural networks, specifically leveraging TensorFlow and Convolutional Neural Networks (CNNs) for their efficiency in processing Mel Spectrograms. The UrbanSound8K dataset was used, with extensive preprocessing steps to standardize audio data and improve model robustness. The expected outcomes include high classification accuracy and insights into urban sound dynamics, while challenges such as misclassification between similar sound classes are a

Author

Kanak Arora

Language

EN