diff --git a/.gitignore b/.gitignore
index 57bc4b6..438ca90 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,4 +1,5 @@
 models
+yun
 *.swp
 *~
 *.pyc
diff --git a/labelTools.py b/labelTools.py
index 1ac9c5b..006a720 100644
--- a/labelTools.py
+++ b/labelTools.py
@@ -89,14 +89,16 @@
 	"CXF": "OCH", # other child far
 }
 
-silDict		 = {'SIL':0,'SPE':1}
-classDict        = {'CHI':1,'MOT':2,'FAT':3,'OCH':4,'OAD':5,'OTH':6} # child mother father otherchild otheradult
-classDictBinary  = {'CHI':1,'MOT':2,'FAT':2,'OCH':1,'OAD':2,'OTH':3} # child adult
-classDictTernary = {'CHI':1,'MOT':2,'FAT':3,'OCH':1,'OAD':4,'OTH':4} # child male female
+revDictSil       = {0:'SIL',1:'SPE'}
+revDict          = {1:'CHI',2:'MOT',3:'FAT',4:'OCH',5:'OAD',6:'OTH'}
+revDictBinary    = {1:'CHI',2:'ADU',3:'OTH'}
+revDictTernary   = {1:'CHI',2:'WOM',3:'MAN',4:'OTH'}
+
+silDict		 = {'SIL':0,'SPE':1,'rev':revDictSil}
+classDict        = {'CHI':1,'MOT':2,'FAT':3,'OCH':4,'OAD':5,'OTH':6,'rev':revDict} # child mother father otherchild otheradult
+classDictBinary  = {'CHI':1,'MOT':2,'FAT':2,'OCH':1,'OAD':2,'OTH':3,'rev':revDictBinary} # child adult
+classDictTernary = {'CHI':1,'MOT':2,'FAT':3,'OCH':1,'OAD':4,'OTH':4,'rev':revDictTernary} # child male female
 
-revDict		 = {1:'CHI',2:'MOT',3:'FAT',4:'OCH',5:'OAD',6:'OTH'}
-revDictBinary	 = {1:'CHI',2:'ADU',3:'OTH'}
-revDictTernary	 = {1:'CHI',2:'WOM',3:'MAN',4:'OTH'}
 
 
 
@@ -122,7 +124,8 @@ def stmNewLine(medianame,label,start,end):
         return '\t'.join([medianame,label,medianame+'_'+label,str(start),str(end)]) + '\n'
 
 def writeToStm(y,labelsDict,medianame,outfilename):
-        revDict = {v:k for k,v in labelsDict.items()}
+        # revDict = {v:k for k,v in labelsDict.items()}
+	revDict = labelsDict['rev']
 	revDict[silDict['SIL']] = 'SIL'
         y = np.asarray(y)
         boundaries = list((y[:-1] != y[1:]).nonzero()[0] + 1) + [y.shape[0]-1]
@@ -142,7 +145,8 @@ def audacityNewLine(start,end,label):
 
 
 def writeToAudacity(y,labelsDict,outfilename):
-        revDict = {v:k for k,v in labelsDict.items()}
+        # revDict = {v:k for k,v in labelsDict.items()}
+	revDict = labelsDict['rev']
 	revDict[silDict['SIL']] = 'SIL'
         y = np.asarray(y)
         boundaries = list((y[:-1] != y[1:]).nonzero()[0] + 1) + [y.shape[0]-1]
diff --git a/wrap-b.py b/wrap-b.py
index aa3b5cd..885e7e1 100644
--- a/wrap-b.py
+++ b/wrap-b.py
@@ -26,6 +26,7 @@
 	model = sys.argv[2] # model saved by wrap-a 
 	outfileFolder = sys.argv[3]
 except:
+	print 'System inputs not detected, using defaults'
 	model = 'models/a_classifier_all.p'
 	outfileFolder = 'models'
 
diff --git a/wrap-d.py b/wrap-d.py
index 68e0ac6..e358576 100644
--- a/wrap-d.py
+++ b/wrap-d.py
@@ -35,6 +35,7 @@
 	outfileFolder = sys.argv[3]
 	speechModel = sys.argv[4]
 except:
+        print 'System inputs not detected, using defaults'
 	classModel = 'models/class_short_short_class2.p'
 	outfileFolder = 'models'
 	speechModel = 'models/a_classifier_all.p'
@@ -46,6 +47,8 @@
 classDictBinary  = labelTools.classDictBinary
 classDictTernary = labelTools.classDictTernary
 
+thisClassDict = classDictTernary
+
 X_test = extractFeatures.getRawStVectorPerWav(inputWav,stWin,stStep)
 X_test = X_test.T
 y_class_test = clf.predict(X_test)
@@ -67,8 +70,8 @@
 
 
 medianame = extractFeatures.basename(inputWav)
-labelTools.writeToStm(y_out,classDictBinary,medianame,outfileFolder+'/'+medianame+'.stm')
-labelTools.writeToAudacity(y_out,classDictBinary,outfileFolder+'/'+medianame+'.txt')
+labelTools.writeToStm(y_out,thisClassDict,medianame,outfileFolder+'/'+medianame+'.stm')
+labelTools.writeToAudacity(y_out,thisClassDict,outfileFolder+'/'+medianame+'.txt')
 pickle.dump(y_out,open(outfileFolder+'/'+medianame+'_y_out.p','w'))
 
 os.system('cp '+inputWav+' '+outfileFolder+'/'+medianame+'.wav')