comparison SegEval.py @ 2:ef1fd8b0f3c4

gt files

 			tempo_detection = [0.0] + [ao.ssm_timestamps[int(np.rint(i))] for i in tempo_novelty_peaks]
 			
 			# Experiment 2: Trying combined features using the best boundary retrieval method
 			ao_featureset = [ao.gammatone_features, ao.harmonic_features, ao.timbre_features, ao.tempo_features]
 			feature_sel = [int(x) for x in options.FEATURES if x.isdigit()]
-			ao_featureset = [ao_featureset[i] for i in feature_sel]
-		
+			fused_featureset = [ao_featureset[i] for i in feature_sel]
+			
 
 
 def main():
 	
 	segmenter = SSMseg()