Analysis of Speech Signal with Linear and Quadratic Discriminant Analysis: A Fundamental Approach

Mapping of information using pattern classifiers has become more popular now days, even though without a obvious agreement on what classifiers need to be utilized or even just how benefits must be screened. This paper states that by comparative analyses how information maps in multiple class situation which provides the information concerned on neural representation. Speech signal generated from wireless devices may have noise. Noise must be separated from signal. In order to separate noise from speech signal Linear and quadratic discriminant analysis can be used. Logistic regression can be also be used in order to get accurate signal on receiver end since it will calculate the probability.