Conference paper Open Access

Modeling and estimating local tempo: A case study on Chopin's Mazurkas

Hendrik Schreiber; Frank Zalkow; Meinard Müller

Even though local tempo estimation promises musicological insights into expressive musical performances, it has never received as much attention in the music information retrieval (MIR) research community as either beat tracking or global tempo estimation. One reason for this may be the lack of a generally accepted definition. In this paper, we discuss how to model and measure local tempo in a musically meaningful way using a cross-version dataset of Frédéric Chopin's Mazurkas as a use case. In particular, we explore how tempo stability can be measured and taken into account during evaluation. Comparing existing and newly trained systems, we find that CNN-based approaches can accurately measure local tempo even for expressive classical music, if trained on the target genre. Furthermore, we show that different training–test splits have a considerable impact on accuracy for difficult segments.
Files (512.3 kB)
Name Size
14.pdf
md5:d44696020fbfb77290a7b5a14914b73f
512.3 kB Download
128
67
views
downloads
All versions This version
Views 128128
Downloads 6767
Data volume 34.3 MB34.3 MB
Unique views 116116
Unique downloads 6464

Share

Cite as