Analysis and Simulation of Sound Classification System Using Machine Learning Techniques

Abstract

Although sound is the maximum critical speaking device for all dwelling organisms, people’s day-by-day lives have brought extra forms of sounds into the herbal environment, which can also additionally or might not be useful. As a result, separating the regular communicating noises and identifying and interpreting them is a pressing necessity of the day. This study is about the different types of sounds that can be heard in cities. As a result, sound classification may aid the machine in determining the type of sound. This study examines the numerous strategies that are used to classify sounds and train machines to learn and analyze data in order to produce appropriate output. These kind of investigations can also aid in the detection of criminal activity. In addition, the numerous types of input and other parameters that can be employed for categorization were examined in this research. The methods’ benefits and drawbacks were also addressed.