Scanning the Dial: The Rapid Recognition of Music Genres
By Robert O. Gjerdingen, D. Perrott. 2008
195 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition, Signal Processing
View Paper: https://www.semanticscholar.org/paper/534543d49b5f7bfe9142ea5dd1186ff1fe7aed30
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
- Guojun Lu
- Dengsheng Zhang
- Carol Krumhansl
- Tuomas Eerola
- Zhouyu Fu
- Kai Ming Ting
- Dong-ping Tian
- Charu C. Aggarwal
In Signal Processing
Citations in the corpus
- A Survey of Audio-Based Music Classification and Annotation (2011, background): “genre classification with human performance [147]–[149].”
- Are the Emotions Expressed in Music Genre-specific? An Audio-based Evaluation of Datasets Spanning Classical, Film, Pop and Mixed Genres (2011, background): “Often identified from extremely brief excerpts (Gjerdingen & Perrott, 2008), genre is equally the subject of automatic recognition systems (e.g. Marques, Langlois, Gouyon, Lopes, & Sordo, 2011).”
- Plink: "Thin Slices" of Music (2010, background): “The second theoretical issue that was raised in the Gjerdingen and Perrott (2008) paper is the idea of a plasticity period (sometimes called the reminiscence bump), during which lifelong musical preferences are established.”