Quantifying Auditory Temporal Stability in a Large Database of Recorded Music
Identifieur interne : 000050 ( Pmc/Corpus ); précédent : 000049; suivant : 000051Quantifying Auditory Temporal Stability in a Large Database of Recorded Music
Auteurs : Robert J. Ellis ; Zhiyan Duan ; Ye WangSource :
- PLoS ONE ; 2014.
Abstract
“Moving to the beat” is both one of the most basic and one of the most profound means by which humans (and a few other species) interact with music. Computer algorithms that detect the precise temporal location of beats (i.e., pulses of musical “energy”) in recorded music have important practical applications, such as the creation of playlists with a particular tempo for rehabilitation (e.g., rhythmic gait training), exercise (e.g., jogging), or entertainment (e.g., continuous dance mixes). Although several such algorithms return simple point estimates of an audio file’s temporal structure (e.g., “average tempo”, “time signature”), none has sought to quantify the temporal
Url:
DOI: 10.1371/journal.pone.0110452
PubMed: 25469636
PubMed Central: 4254286
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