cppmary

Map<String, List<Element>> elementLists = parseDocument(doc);
Model durationModel = voice.getDurationModel();
List<Element> durationElements = elementLists.get(durationModel.getApplyTo());
durationModel.applyTo(durationElements);
	HTSUttModel um = predictAndSetDuration(elements, elements);
		List<Target> predictorTargets = getTargets(predictorElements);
			String phone = UnitSelector.getPhoneSymbol(element);
			Target target = new Target(phone, element);
			targets.add(target);
			FeatureVector targetFeatureVector = featureComputer.computeFeatureVector(target);
			target.setFeatureVector(targetFeatureVector); // this is critical!
		FeatureDefinition feaDef = htsData.getFeatureDefinition();
		for (int i = 0; i < predictorTargets.size(); i++) {
			fv = predictorTargets.get(i).getFeatureVector();
		}

features = ((HMMVoice) voice).getHMMData().getFeatureDefinition().getFeatureNames();
featureComputer = FeatureRegistry.getTargetFeatureComputer(locale, features);
String out = listTargetFeatures(featureComputer, segmentsAndBoundaries);
	List<Target> targets = overridableCreateTargetsWithPauses(segmentsAndBoundaries, pauseSymbol);
	// Third, compute the feature vectors and convert them to text
	String header = featureComputer.getAllFeatureProcessorNamesAndValues();
	for (Target target : targets) {
		FeatureVector features = featureComputer.computeFeatureVector(target);
		text.append(featureComputer.toStringValues(features)).append("\n");
		bin.append(features.toString()).append("\n");
	}