function varargout = mirlowenergy(x,varargin)
% p = mirlowenergy(f) computes the percentage of frames showing a RMS
% energy that is lower than a given threshold.
% For instance, for a musical excerpt with some very loud frames and
% lots of silent frames, we would get a high low-energy rate.
% Optional argument:
% mirlowenergy(...,'Threshold',t) expressed as a ratio to the average
% energy over the frames.
% Default value: t = 1
% mirlowenergy(...,'Frame',l,h) specifies the use of frames of
% length l seconds and a hop rate h.
% Default values: l = .05 s, h = .5
% mirlowenergy(...,'Root',0) uses mean square instead of root mean
% square
% mirlowenergy(...,'ASR') computes the Average Silence Ratio, which
% corresponds in fact to mirlowenergy(...,'Root',0,'Threshold',t)
% where t is fixed here by default to t = .5
% [p,e] = mirlowenergy(...) also returns the RMS energy curve.
asr.key = 'ASR';
asr.type = 'Boolean';
asr.default = 0;
option.asr = asr;
root.key = 'Root';
root.type = 'Boolean';
root.default = 1;
option.root = root;
thr.key = 'Threshold';
thr.type = 'Integer';
thr.default = NaN;
option.thr = thr;
frame.key = 'Frame';
frame.type = 'Integer';
frame.number = 2;
frame.default = [.05 .5];
option.frame = frame;
specif.option = option;
specif.combinechunk = {'Average',@nothing};
specif.extensive = 1;
varargout = mirfunction(@mirlowenergy,x,varargin,nargout,specif,@init,@main);
function [x type] = init(x,option)
if option.asr
option.root = 0;
end
if isamir(x,'miraudio')
if isframed(x)
x = mirrms(x,'Root',option.root);
else
x = mirrms(x,'Frame',option.frame.length.val,option.frame.length.unit,...
option.frame.hop.val,option.frame.hop.unit,...
'Root',option.root);
end
end
type = 'mirscalar';
function e = main(r,option,postoption)
if iscell(r)
r = r{1};
end
if isnan(option.thr)
if option.asr
option.thr = .5;
else
option.thr = 1;
end
end
v = mircompute(@algo,get(r,'Data'),option.thr);
fp = mircompute(@noframe,get(r,'FramePos'));
e = mirscalar(r,'Data',v,'Title','Low energy','Unit','/1','FramePos',fp);
e = {e,r};
function v = algo(d,thr)
v = sum(d < repmat(thr*mean(d,2),[1 size(d,2) 1]));
v = v / size(d,2);
function fp = noframe(fp)
fp = [fp(1);fp(end)];
function y = nothing(old,new)
y = old;