Abstract
Asthma is a lung disease that affects airflow to and From the lungs. A whistling sound comes when a person suffering from asthma breathes in and out. Major symptoms of asthma are chest stiffness, breathe shortness and cough production during night and morning. In this paper, Asthma is analyze with the help of Mel frequency Cepstral Coefficient (MFCC). In this system, MFCC for Normal Voice and for Asthma patient voice is found out. The process of Feature extraction is that, in which the speaker is represented by the small amount of data from the voice signal. This system converts a speech waveform to type of parametric representation for further analysis and processing. There are two methods for MFCC feature extraction, either FFT based or LPC based. In this paper, MFCC extraction based on FFT is used.
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