📄 euclid_dist.m
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function d = euclid_dist(x,y)
% x, y: Two matrices whose each column is an a vector data.
% d: Element d(i,j) will be the Euclidean distance between two
% column vectors X(:,i) and Y(:,j)
%
% The Euclidean distance D between two vectors X and Y is:
% D = sum((x-y).^2).^0.5
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Speaker Recognition System %
% %
% Project mmembers: (1) Habib ur Rehn=man %
% (2) Abdul Basit %
% Date: 12-05-2003 %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
[M, N] = size(x);
[M2, P] = size(y);
d = zeros(N, P);
if (N < P)
copies = zeros(1,P);
for n = 1:N
d(n,:) = sum((x(:, n+copies) - y) .^2, 1);
end
else
copies = zeros(1,N);
for p = 1:P
d(:,p) = sum((x - y(:, p+copies)) .^2, 1)';
end
end
d = d.^0.5;
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