However, the model does not cope very well with different singing techniques or
with data that contains a lot of atmospheric noise and accompaniment.
+From the results we conclude that the model generalizes well over the trainings
+set, even with little hidden nodes. The models with 3 or 5 hidden nodes score a
+little worse than their bigger brothers but there is hardly any difference
+between the performance of a model with 8 or 13 nodes. Moreover, contrary than
+expected the window size does not seem to be doing much in the performance.
+
\subsection{Future research}
\paragraph{Forced aligment: }
Future interesting research includes doing the actual forced alignment. This