%%%%% For preprocessing data see scripts in  the ENST-public dir.
%%%%% For whole process see.  traindoit


% preprocess annotation.  does same as mergeDrumTypesENST but for an event within combination window
% instead of one sd and one bd event with same timestamp, prints one comined event bd_sd

combineDrumTypesENST(songURI) -> function called in trainPositionalProbs
% output is .txt.combined

%use timestamps in file *.notePart.combined for files

%% training all.  
function traindoit
NOTE: obs probs have to be trained as well after combineDrumTypesENST is run since this assures that the spectrum is taken of snare-only  and bass-only hits 




% decode

decodeAlgorithm( transMatrixFull, tableObsProbs, positionalProbs, V, P);

% the logic for one iteration itself: 
function decode() 
1. construct A table based on C. 
2. construct B table - these give the model without the transitions.
3. summ over A velocities and multiply by B
4. take max drum type. 


%%% main logic of decoding. does write results of decoded sequence into file: 
transcr.pos - 
transcr.vel -
transcr.sd
transcr.bd

doitOneSong()




%%%%% evaluation: 
eval/evalPrecRecallForOneSong

use mergeDrumTypesENST.
% the file is .txt.bd and .txt.sd

if using clasifier with combined classes consider its output as two detections of the two types (e.g. bd and sd): 
then compare the same way as with no combinations 


One can exlude MIDIs from training by commenting a code snippet in 
trainObsLiks 
and can exclude them from evaluation by commenting a code snippet in 
evalPrecRecallAllSongs

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