CITATION — REFERENCE ENTRY
dbn-limitations · foscarin2024-beat-this
- Citation
- foscarin2024-beat-this
- Claim ID
- dbn-limitations
- Assertion
- The dynamic Bayesian network (DBN) postprocessing proposed by Böck et al. is the most widely used postprocessing for neural beat trackers and was employed by all recent high-accuracy models; it constrains tempo to a fixed range and beats per bar to a short list, so it is bound to fail on pieces with time-signature changes, tempos outside the range, or unsupported numbers of beats per bar.
- Quote
The most widely used postprocessing technique is the Dynamic Bayesian Network (DBN) in the form proposed by Böck et al. [9]. [...] We argue that the DBN is a problematic component because it is inherently bound to fail for several music pieces: pieces with time signature changes, pieces whose tempo falls outside of the tempo range (or that slow down/speed up outside the tempo range), and pieces whose number of beats per measure are not included in the list of supported values. [...] Remarkably, we do not use the DBN postprocessing, which was employed by all recent high-accuracy models.
- Quote language
- en
- Locator
- section: 1, 5
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