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function v= mfcc(s,fs) % s: No of points % fs: Sampling rate %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Speaker Recognition System % %

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Speaker Recognition System % % % % Project mmembers: (1)

%GFFINDFUNDAMENTALFREQS Find fundamental frequencies of an image. % % [FF O V I] = % GFFINDFUNDAMENTALFREQS(IMG, X0, Y0, F0, THETA, GAMMA, ETA) % finds fundamental frequencies of the image

function []=fig2eps(fig) % % FIG2EPS Exports the figure to a file in the EPS format. % Before saving, the standard save window is invoked % to obtain output file name. % % Statistical Patter

function []=setpath(toolboxroot) % []=setpath(toolboxroot) % % SETPATH adds path of the Statistical Pattern Recognition Toolbox. % The function argument determines where the root directory %

function []=fig2eps(fig) % % FIG2EPS Exports the figure to a file in the EPS format. % Before saving, the standard save window is invoked % to obtain output file name. % % Statistical Patter

function []=setpath(toolboxroot) % []=setpath(toolboxroot) % % SETPATH adds path of the Statistical Pattern Recognition Toolbox. % The function argument determines where the root directory %

@article{phillips1997the, author = "P. J. Phillips and H. Moon, P. Rauss and S. A. Rizvi", title = "The feret evaluation methodology for face-recognition algorithms", journal = "CVPR", pages = "137--1

Face Recognition Library ======================== Advanced face recognition DLL using two functions : Train and Recognize. Uses neural net back propogation alogorithm with more AI tools added for