Real time implementation of speaker identification system with frame picking algorithm

Speaker recognition refers to the task of recognizing persons from their spoken speech. It belongs to the field of biometric person authentication which also includes authentication by fingerprints, face and iris. Implementing the identification technique using a dedicated hardware like field programmable gate arrays (FPGA) could be useful to achieve smart units. The computational complexity and identification time mainly depend on the number of speakers, the number of frame vectors, their dimensionality and the model order of the classifier. Due to the slow movement of the voice producing parts, the adjacent frame vectors do not vary much in information content. In this paper, we present the design of a speaker identification system with a distance metric based frame selection technique. The aim is not only to provide the architecture of a speaker identification system but also to reduce the redundant frames at the pre-processing stage to lower the identification time and computation burden which are vital for real time implementation.