Speaker's Voice Characteristics and Similarity Measurement using Euclidean Distances

The Euclidean distance and MFCC feature extraction technique are the composite way and useful for successfully measure the similarity between speakers. This type of approaches is used in the forensic statics for similarity of voice measurement. The speaker voice similarity is measured by using Euclidean distance (ED) through a different set of speakers as same-same speakers (SS) and difference speakers (DS). This approaches suggested that the feature coefficient of speech maximum dependent on speakers voice. The ED is calculated from the mean of Mel-frequency cepstral coefficient (MFCC) for speaker similarity measurement. There is ED difference method is proposed for finding the similarity index between SS and DS.