Advanced Computing and Communication Techniques for High Performance Applications |
Foundation of Computer Science USA |
ICACCTHPA2014 - Number 2 |
February 2015 |
Authors: Nilu Singh, Alka Agrawal, R. A. Khan |
318dd12d-447b-4249-8ec3-aa7469f65b85 |
Nilu Singh, Alka Agrawal, R. A. Khan . Gaussian Mixture Model: A Modeling Technique for Speaker Recognition and its Component. Advanced Computing and Communication Techniques for High Performance Applications. ICACCTHPA2014, 2 (February 2015), 28-31.
This paper provides an overview of Gaussian Mixture Model (GMM) and its component of speech signal. During the earlier period it has been revealed that Gaussian Mixture Model is very much appropriate for voice modeling in speaker recognition system. For Speaker recognition, Gaussian mixture model is an essential appliance of statistical clustering. The task effortlessly performed by humans is not effortless for machine or computers such as voice recognition or face recognition so for this function speaker recognition technology makes available a solution, using this technology the computers/machines outperforms than humans.