Andreas Arzt, Gerhard Widmer, Simon Dixon,
"Adaptive Distance Normalization for Real-Time Music Tracking"
: Proceedings of the European Signal Processing Conference (EUSIPCO), 2012, 8-2012
Original Titel:
Adaptive Distance Normalization for Real-Time Music Tracking
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the European Signal Processing Conference (EUSIPCO), 2012
Original Kurzfassung:
The goal of real-time music tracking is to follow a musical
performance on-line and at any time report the current position
in the score. To achieve this, both the score and the
performance have to be represented in a suitable way. In
this paper, we first evaluate the performance of some wellknown
features and then propose a simple but effective distance
normalization strategy for onset-emphasized features,
which greatly improves the alignment results. Finally, we
combine both harmonic and onset-emphasized features in a
fashion known from off-line audio alignment, resulting in a
combination which outperforms each individual feature regarding
robustness and accuracy.
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