Comparative Analysis of Prosodic Features and Linear Predictive Coefficients for Speaker Recognition Using Machine Learning Technique
Varinder Singh Baidwan, Shruti Gujral · 2014
Speaker recognition is a biometric identification method that uses different features of individual's voice for automatically identifying a speaker among a population. Two different features set for text dependent speaker recognition. A comparison is performed between Linear Predictive Coefficients (LPC) and Prosodic Features (F0, F1, F2, and F3) along with Radial Basis Function Network (RBFN) for recognizing a speaker population of 100 speakers. The results conclude that prosodic features performed better than LPC in terms of accuracy, precision and recall.