A Review On Performance Of Voice Feature Extraction Techniques

In the digital era, the computing applications are to be secured from anonymous attacks by strengthening the authentication credentials. Numerous methodologies and algorithms have been proposed implementing human biometric as unique identity and one such identity is human voice print. The human voice print is a unique characteristic of the individual and has a wide variety of techniques in representing and extracting the features from the digital speech signals. The voice recognition techniques were executed on different platforms and exploit different mathematical tools in voice feature extraction, leading to dissimilarity in performance and results. In this paper, we investigate, analyze and present a review on performance of numerous voice recognition techniques.