matthiasm@8: function out = getmeasures3(x,fs,ts);
matthiasm@8: 
matthiasm@8: if nargin<2
matthiasm@8: 	% optional argument to hand label the timesignature
matthiasm@8:     ts = 0;
matthiasm@8: end
matthiasm@8: 
matthiasm@8: 
matthiasm@8: % [x fs] = wavread(fname);
matthiasm@8: % x = mean(x,2);
matthiasm@8: 
matthiasm@8: if fs~=11025,
matthiasm@8:     x = resample(x,11025,fs);
matthiasm@8: end
matthiasm@8: 
matthiasm@8: x = x + randn(length(x),1) * 0.0000001;
matthiasm@8: 
matthiasm@8: df = get_dfs(x,bt_parms(0.01161*4));
matthiasm@8: disp 'onset detection function'
matthiasm@8: 
matthiasm@8: [beats,localscore,timesig] = newtt_hmm_dp(df{1});
matthiasm@8: disp 'beats'
matthiasm@8: 
matthiasm@8: % [bcf,frame] = getbcfs2(fname,beats);
matthiasm@8: % if~timesig, timesig = 4; end
matthiasm@8: % 
matthiasm@8: % if ts
matthiasm@8: %     measures = bcfm(bcf.spec,beats,ts);
matthiasm@8: % else
matthiasm@8: %     measures = bcfm(bcf.spec,beats,timesig);
matthiasm@8: % end
matthiasm@8: 
matthiasm@8: 
matthiasm@8: 
matthiasm@8: out.beats = beats/44100;
matthiasm@8: % out.measures = measures/44100;
matthiasm@8: % out.timesig = timesig;
matthiasm@8: % out.df = df{1};