A Multi-Pass Algorithm for Accurate Audio-to-Score Alignment.
Sprache des Vortragstitels:
11th International Society for Music Information Retrieval Conference (ISMIR 2010),
Sprache des Tagungstitel:
Most current audio-to-score alignment algorithms work on
the level of score time frames; i.e., they cannot differentiate
between several notes occurring at the same discrete
time within the score. This level of accuracy is sufficient
for a variety of applications. However, for those that deal
with, for example, musical expression analysis such microtimings
might also be of interest. Therefore, we propose a
method that estimates the onset times of individual notes in
a post-processing step. Based on the initial alignment and
a feature obtained by matrix factorization, those notes for
which the confidence in the alignment is high are chosen
as anchor notes. The remaining notes in between are revised,
taking into account the additional information about
these anchors and the temporal relations given by the score.
We show that this method clearly outperforms a reference
method that uses the same features but does not differentiate
between anchor and non-anchor notes.