One of the most important research topics in biomedical electronics now-a-days is voice analysis. Voice medium is the most natural form of communication known to human civilization. Voice analysis can help in extracting information about a person's health and can help in determining if a person is suffering from some kind of illness such as cough, cold, fever etc. Voice analysis can also help in determining a person's emotion since a normal human voice is different from the voice when the person is happy, sad, anxious, stressed etc. There are several voice pathological disorders related with nasal, neural, respiratory and larynx diseases. As a result, analysis and diagnosis of vocal disorders has become an important medical procedure. This paper presents a method to differentiate five categories of people — i) healthy people, ii) people suffering from intermittent asthma, iii) people suffering from mild asthma, iv) people suffering from moderate asthma, and v) people suffering from severe asthma, based on their voice analysis. The method involves the development of a numerical formula using the voice parameters, like Fundamental Frequency, Jitter, Shimmer and Maximum Phonation Time. The purpose of this study is to determine the Level of Asthma in a person by their voice analysis.