Abstract
Beat tracking is a central topic within the MIR community and an active area of research 1–3. The scientific
progress in this area is mainly thanks to recent machine
learning techniques. However, some machine learning approaches are black boxes, hard to understand, and often
without direct control over the parameters to adjust the
beat tracker. For this demo, we choose a model-based approach that is easy to understand, good for interactions,
and well suited for educational purposes 4. In particular,
we present a system for real-time interactive beat tracking based on predominant local pulse (PLP) information,
as first described in Grosche et al. 5. In the first section,
we show how the PLP-based algorithm can be transformed
from an offline procedure to a real-time procedure. In the
second section, we present the implementation of a system
that uses this real-time procedure as the centerpiece of an
interactive beat tracking application.
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