Speaker Recognition Using Machine Learning Based Method

摘要

Speaker recognition is related to speaker identification and speaker verification problems. Speaker identification is a task to identify the provided speech sample (utterance) as belonging to one speaker from the set of known speakers (1:N match). Speaker verification is a task of comparison of the utterance to one given speaker identity and either accepting or rejecting the identity (1:1 match).Here we are using an artificial intelligent (AI) based technique to complete this task. Here we are trying to differentiate the sound of APJ Abdul Kalam sir and the Donald Trumph president of America. Herewe are using K-nearest neighbor (KNN) algorithm which is a powerful supervised learning tool. We have extract the four parameters of sound and these are 'power spectral density', "spectral centroid?, "spectral flatness? and "roll-off frequency'.