Urban Sound Classification using Neural Network

In this blog post, we will learn techniques to classify urban sounds into categories using machine learning. Earlier blog posts covered classification problems where data can be easily expressed in vector form. For example, in the textual dataset, each word in the corpus becomes feature and tf-idf score becomes its value. Likewise, in anomaly detection dataset we saw two features "throughput" and "latency" that fed into a classifier. But when it comes to sound, feature extraction is not quite straightforward.