"Towards Audio to Score Alignment in the Symbolic Domain."
: Proceedings of the Sound and Music Computing Conference (SMC 2009)., 2009
Towards Audio to Score Alignment in the Symbolic Domain.
Sprache des Titels:
Proceedings of the Sound and Music Computing Conference (SMC 2009).
This paper presents a matrix factorization based feature for
audio to score alignment. We show that in combination
with dynamic time warping it can compete with chroma vectors,
which are the probably most frequently used approach
within the last years. A great benefit of the factorizationbased
feature is its sparseness, which can be used in order
to transform it into a symbolic representation. We will show
that music to score alignments using the symbolic version
of the feature is less accurate but on the other hand reduces
the memory required for feature representation and during
the alignment process to a fraction of the original amount.
This is of special value when dealing with very long pieces
of music where the limits of default DTW are reached.