Automatic Extraction of Tempo and Beat From Expressive Performances
By Simon E. Dixon. 2001
435 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition, Signal Processing
View Paper: https://www.semanticscholar.org/paper/8525a2dc21a247b6637384f9c4964701c6c2bf74
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
In Computer Vision and Pattern Recognition
- Emmanouil Benetos
- D. Ellis
- Anssi Klapuri
- Dimitrios Giannoulis
- Holger Kirchhoff
- Simon E. Dixon
- Jaakko T. Astola
- Xavier Serra
In Signal Processing
- Emmanouil Benetos
- Simon E. Dixon
- Dimitrios Giannoulis
- Holger Kirchhoff
- D. Ellis
- Anssi Klapuri
- Antti J. Eronen
- Jaakko T. Astola
Citations in the corpus
- Beat Tracking by Dynamic Programming (2007, background): “At some point, the consideration of multiple different tempos becomes equivalent to the kind of explicit multiple-hypothesis beat tracking system typified by Dixon [2001].”
- Automatic music transcription: challenges and future directions (2013, methodology): “Again, numerous approaches have been proposed, such as rulebased methods (Desain and Honing 1999), adaptive oscillators (Large and Kolen 1994), agent-based or multiple hypothesis trackers (Dixon 2001), filter-banks (Davies and Plumbley 2007), dynamical systems (Cemgil and Kappen 2003) and probabilis”
- Analysis of the meter of acoustic musical signals (2006, background): “Some of the systems [5], [14], [16], [17] can be immediately extended to process audio signals by employing an onset detector which extracts the beginnings of discrete acoustic events from an audio signal.”