Post date: Oct 13, 2009 7:54:25 AM
Worked as Junior Research Fellow during May-August 2014 under supervision of Prof. Mustaque Ahamad , (Georgia Institute of Technology) & Husrev Taha Sencar, (CRISSP-AD Local Director).
Project Details: The goal of automatic speaker recognition is to recognize the speaker by extraction, characterization and speaker specific information contained in the speech signal. The voice sample of the test speaker is compared to all the known speaker models, to find the model with the closest match. The speaker verification (authentication) task is to determine whether the speaker is the person he or she claims to be.
Skill Used: MFCC , Gaussian Mixture Model , Vector Quantization , K mean Clustering
Duration: May 2014 - Aug 2014
Captured Snap