Abstract:

The recent interest in artificial neural networks has prompted several implementations across many different subfields of study. Learning in neural networks offers a promising alternative to more traditional approaches to study. Neural networks may be used to a wide variety of issues, including those involving pattern association, pattern classification, regularity detection, image processing, voice analysis, simulation, and so on. In order to accomplish our Content-based audio classification job, a neural classifier was developed in this study employing artificial neural networks. To put it simply, a neural network is a computer model that attempts to mimic the way the human brain works when learning. When we talk about "artificial" neural networks, we're referring to those that have been built into computer programs that can do the massive amounts of computations required for learning

Description:

Artificial Neural Net, Audio Extraction, computer model