Ambiguity in Tempo Perception: What Draws Listeners to Different Metrical Levels?
By Martin F. McKinney, D. Moelants. 2006
113 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Signal Processing
View Paper: https://www.semanticscholar.org/paper/144838cd35a6e06a6a114b1313a4d14b13183632
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
- John R. Iversen
- Aniruddh D. Patel
- D. Ellis
- Michael J. Hove
- Jan Stupacher
- B. Johansson
- Sebastian Kirschner
- Dwayne Engh
In Signal Processing
- John R. Iversen
- Aniruddh D. Patel
- D. Ellis
- Michael J. Hove
- Jan Stupacher
- Xavier Serra
- Li Deng
- Eduardo Fonseca
Citations in the corpus
- The evolutionary neuroscience of musical beat perception: the Action Simulation for Auditory Prediction (ASAP) hypothesis (2013, background): “…to the human preferred tempo range of about 600 ms between beats (see above), but there is considerable individual variation, with some listeners picking metrical levels either faster and slower than this (Drake et al., 2000; Toiviainen and Snyder, 2003; McKinney and Moelants, 2006; Martens, 2011).”
- Beat Tracking by Dynamic Programming (2007, methodology): “To set τ 0 and σ τ , we used the MIREX-06 Beat Tracking training data, which consists of the actual tapping instants from 40 subjects asked to tap along with a number of 30 s musical excerpts [McKinney and Moelants, 2006a, Moelants and McKinney, 2004].”
- Audio Features Underlying Perceived Groove and Sensorimotor Synchronization in Music (2016, methodology): “In recognition of the fact that different listeners may perceive the tactus at different metric levels (Martens, 2011; McKinney & Moelants, 2006; Tomic & Janata, 2008), we obtained beat location estimates using the tapping data from 34 participants in the isochronous tapping condition of Study 2…”