Filip Korzeniowski, Gerhard Widmer,
"Refined Spectral Template Models for Score Following"
: Proceedings of the Sound and Music Computing Conference (SMC), 8-2013
Original Titel:
Refined Spectral Template Models for Score Following
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the Sound and Music Computing Conference (SMC)
Original Kurzfassung:
Score followers often use spectral templates for notes and
chords to estimate the similarity between positions in the
score and the incoming audio stream. Here, we propose
two methods on different modelling levels to improve the
quality of these templates, and subsequently the quality of
the alignment.
The first method focuses on creating more informed templates
for individual notes. This is achieved by estimating
the template based on synthesised sounds rather than
generic Gaussian mixtures, as used in current state-of-theart
systems.
The second method introduces an advanced approach to
aggregate individual note templates into spectral templates
representing a specific score position. In contrast to score
chordification, the common procedure used by score followers
to deal with polyphonic scores, we use weighting
functions to weight notes, observing their temporal relationships.
We evaluate both methods against a dataset of classical
piano music to show their positive impact on the alignment
quality.
Forschungs-