Album And Artist Effects For Audio Similarity At The Scale Of The Web
By A. Flexer, Dominik Schnitzer, J. Kepler. 2009
17 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Eduardo Fonseca
- Xavier Serra
- Frederic Font
- Xavier Favory
- Jordi Pons
- Dmitry Bogdanov
- Alastair Porter
- Minz Won
In Signal Processing
- Eduardo Fonseca
- Xavier Serra
- Frederic Font
- Xavier Favory
- Jordi Pons
- Dmitry Bogdanov
- Alastair Porter
- Minz Won
Citations in the corpus
- FSD50K: An Open Dataset of Human-Labeled Sound Events (2020, background): “Another example of this in the field of music recognition is the denominated “album effect” [66, 67] or “artist effect” [68].”
- The MTG-Jamendo Dataset for Automatic Music Tagging (2019, background): “…splits for repeated evaluations to avoid possible biases of a particular random split.3 Importantly, our split also avoids “artist and album effects” (Flexer & Schnitzer, 2009) which lead to possible overestimation of performance when a testing or validation sets contain tracks from the same…”