diff toolboxes/MIRtoolbox1.3.2/MIRToolbox/mirfeatures.m @ 0:e9a9cd732c1e tip

first hg version after svn

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/toolboxes/MIRtoolbox1.3.2/MIRToolbox/mirfeatures.m	Tue Feb 10 15:05:51 2015 +0000
@@ -0,0 +1,153 @@
+function r = mirfeatures(x,varargin)
+%   f = mirfeatures(x) computes a large set of features from one or several
+%       audio files. x can be either the name of an audio file, or the
+%       'Folder' keyword.
+%   mirfeatures(...,'Stat') returns the statistics of the features instead
+%       of the complete features themselves.
+%   mirfeatures(...,'Segment',t) segments the audio sequence at the 
+%       temporal positions indicated in the array t (in s.), and analyzes
+%       each segment separately.
+
+%(not available yet)
+%   mirfeatures(...,'Filterbank',nc) computes the analysis on each channel
+%       of a filterbank decomposition.
+%       Default value: nc = 5
+%   mirfeatures(...,'Frame',...) 
+%   mirfeatures(...,'Normal')
+%   mirfeatures(...,'Sampling',s)
+%   miraudio options (Extract, ...)
+
+[stat,nchan,segm,feat] = scanargin(varargin);
+
+if isa(x,'miraudio') || isa(x,'mirdesign')
+    a = miraudio(x,'Normal'); % normalize with respect to RMS energy 
+                              % in order to consider timbre independently of
+                             % energy
+else
+    a = miraudio('Design','Normal');
+end
+
+if not(isempty(segm))
+    a = mirsegment(a,segm);
+end
+
+
+
+% DYNAMICS
+% --------
+
+r.dynamics.rms = mirrms(a,'Frame');
+% Perceived dynamics: spectral slope?
+
+% RHYTHM
+% ------
+
+r.fluctuation = mirstruct;
+r.fluctuation.tmp.f = mirfluctuation(a,'Summary');
+r.fluctuation.peak = mirpeaks(r.fluctuation.tmp.f,'Total',1);%only one?
+r.fluctuation.centroid = mircentroid(r.fluctuation.tmp.f);
+
+r.rhythm = mirstruct;
+r.rhythm.tmp.onsets = mironsets(a);
+
+%r.rhythm.eventdensity = ...
+
+r.rhythm.tempo = mirtempo(r.rhythm.tmp.onsets,'Frame');
+%r.rhythm.pulseclarity = mirpulseclarity(r.tmp.onsets,'Frame');
+    % Should use the second output of mirtempo.
+
+attacks = mironsets(r.rhythm.tmp.onsets,'Attacks');
+r.rhythm.attack.time = mirattacktime(attacks);
+r.rhythm.attack.slope = mirattackslope(attacks);
+
+% TIMBRE
+% ------
+
+f = mirframe(a,.05,.5);
+r.spectral = mirstruct;
+r.spectral.tmp.s = mirspectrum(f);
+%pitch = mirpitch(a,'Frame',.05,.5);
+
+r.spectral.centroid = mircentroid(r.spectral.tmp.s);
+r.spectral.brightness = mirbrightness(r.spectral.tmp.s);
+r.spectral.spread = mirspread(r.spectral.tmp.s);
+r.spectral.skewness = mirskewness(r.spectral.tmp.s);
+r.spectral.kurtosis = mirkurtosis(r.spectral.tmp.s);
+r.spectral.rolloff95 = mirrolloff(r.spectral.tmp.s,95);
+r.spectral.rolloff85 = mirrolloff(r.spectral.tmp.s,85);
+r.spectral.spectentropy = mirentropy(r.spectral.tmp.s);
+r.spectral.flatness = mirflatness(r.spectral.tmp.s);
+
+r.spectral.roughness = mirroughness(r.spectral.tmp.s);
+r.spectral.irregularity = mirregularity(r.spectral.tmp.s);
+%r.spectral.inharmonicity = mirinharmonicity(r.spectral.tmp.s,'f0',pitch);
+
+r.spectral.mfcc = mirmfcc(r.spectral.tmp.s);
+r.spectral.dmfcc = mirmfcc(r.spectral.mfcc,'Delta');
+r.spectral.ddmfcc = mirmfcc(r.spectral.dmfcc,'Delta');
+
+r.timbre.zerocross = mirzerocross(f);
+r.timbre.lowenergy = mirlowenergy(f);
+r.timbre.spectralflux = mirflux(f);
+
+% PITCH
+% -----
+
+r.tonal = mirstruct;
+r.tonal.tmp.chromagram = mirchromagram(a,'Frame','Wrap',0,'Pitch',0);
+r.tonal.chromagram.peak=mirpeaks(r.tonal.tmp.chromagram,'Total',1);
+r.tonal.chromagram.centroid=mircentroid(r.tonal.tmp.chromagram);
+
+% TONALITY/HARMONY
+% ----------------
+
+keystrengths = mirkeystrength(r.tonal.tmp.chromagram);
+[k r.tonal.keyclarity] = mirkey(keystrengths,'Total',1);
+%r.tonal.keyclarity = k{2};
+r.tonal.mode = mirmode(keystrengths);
+r.tonal.hcdf = mirhcdf(r.tonal.tmp.chromagram);
+
+if stat
+    r = mirstat(r);
+    % SHOULD COMPUTE STAT OF CURVES FROM FRAMED_DECOMPOSED HIGH FEATURES
+end
+    
+if not(isa(x,'miraudio')) && not(isa(x,'mirdesign'))
+    r = mireval(r,x);
+end
+
+
+function [stat,nchan,segm,feat] = scanargin(v)
+stat = 0;
+nchan = 1;
+segm = [];
+feat = {};
+i = 1;
+while i <= length(v)
+    arg = v{i};
+    if ischar(arg) && strcmpi(arg,'Filterbank')
+        i = i+1;
+        if i <= length(v)
+            nchan = v{i};
+        else
+            nchan = 10;
+        end
+    elseif ischar(arg) && strcmpi(arg,'Stat')
+        i = i+1;
+        if i <= length(v)
+            stat = v{i};
+        else
+            stat = 1;
+        end
+    elseif ischar(arg) && strcmpi(arg,'Segment')
+        i = i+1;
+        if i <= length(v)
+            segm = v{i};
+        else
+            segm = 1;
+        end
+    else
+        feat{end+1} = arg;
+    end    
+    i = i+1;
+end
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