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framing.m
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framing.m
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% Copyright (c) 2012, Jianxia Xue, jxue@cs.olemiss.edu
% All rights reserved.
%
% Redistribution and use in source, with or without
% modification, are permitted provided that the following conditions are
% met:
%
% * Redistributions of source code must retain the above copyright
% notice, this list of conditions and the following disclaimer.
% * Redistributions in binary form must reproduce the above copyright
% notice, this list of conditions and the following disclaimer in
% the documentation and/or other materials provided with the distribution
%
% THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
% AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
% IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
% ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
% LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
% CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
% SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
% INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
% CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
% ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
% POSSIBILITY OF SUCH DAMAGE.
% function [frames, centers] = framing(data, winSpa)
% Converts a vector of data samples into a 2D short time frames
% with each column represents a frame
% data: speech samples
% winSpa: number of samples between adjacent windows
%
% @author Jianxia Xue
% @version 0.20120208
%
function [frames, centers] = framing(data, fs, winLen, winSpa)
nSamples = length(data);
nWindows = floor( nSamples / winSpa);
frames = zeros(winLen, nWindows);
centers = zeros(nWindows, 1);
for i=1:nWindows
start = (i-1)*winSpa+1;
stop = start+winLen-1;
frame = zeros(winLen,1);
if ( stop > nSamples)
frame(1:(nSamples+1-start)) = data(start:nSamples);
else
frame = data(start: stop );
end
frames(:,i) = frame;
centers(i) = (start+stop)/2;
end
function r = normalizeSpectrum(spectrum)
mi = min(spectrum(:));
ma = max(spectrum(:));
if ((ma-mi)<0.000001)
r = spectrum-mi;
else
r = (spectrum-mi) / (ma-mi);
end