Feature Selection and Extraction of Audio Signal

Classification systems of the audio signals are used for analysis of the input signal and then were used to extract the different characteristics or features of the audio signal. Classification of audio signal is used to draw some sensory and physical characteristics like voice and is used to determine their characteristics. Extraction algorithms can be used vastly, depending on the field of classification Application. In this paper, features of audio signals and there extraction are discussed and how to select the optimal features from the selected features. A number of features such as MFCC, Pitch, fundamental frequency characteristics are discussed. The extracted features can be choosed using various algorithms such as genetic algorithm; greedy algorithms are explained which are used for getting the optimized output. The greedy algorithm is applicable only in some situations but not always but to get the optimized values Genetic algorithm always give the best results.