"Improving Accuracy of Polyphinic Music-to -Score Alignment."
: Proceedings of the 10th International Conference on Music Information Retrieval (ISMIR 2009), 2009
Improving Accuracy of Polyphinic Music-to -Score Alignment.
Sprache des Titels:
Proceedings of the 10th International Conference on Music Information Retrieval (ISMIR 2009)
This paper presents a new method to refine music-to-score
alignments. The proposed system works offline in two
passes, where in the first step a state-of-the art alignment
based on chroma vectors and dynamic time warping is performed.
In the second step a non-negative matrix factorization
is calculated within a small search window around
each predicted note onset, using pretrained tone models of
only those pitches which are expected to be played within
that window. Note onsets are then reset according to the
pitch activation patterns yielded by the matrix factorization.
In doing so, we are able to resolve individual notes
within a chord. We show that this method is feasible of
increasing the accuracy of aligned note’s onsets which are
already aligned relatively near to the real note attack. However
it is so far not suitable for the detection and correction
of outliers which are displaced by a large timespan. We
also compared our system to a reference method showing
that it outperforms bandpass filtering based onset detection
in the refinement step.