Content-based organization and visualization of music archives
By Elias Pampalk, Andreas Rauber, Dieter Merkl. MULTIMEDIA '02, 2002
348 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Signal Processing
View Paper: https://www.semanticscholar.org/paper/5f2ae03ad9622fa2bab4121a2d63f597e9e570f0
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
- Guojun Lu
- Dengsheng Zhang
- Tuomas Eerola
- Zhouyu Fu
- Kai Ming Ting
- Dong-ping Tian
- Charu C. Aggarwal
- Alon Y. Halevy
In Signal Processing
Citations in the corpus
- A Survey of Audio-Based Music Classification and Annotation (2011, background): “For example, [35] and [79] perform much better than [1].”
- Album And Artist Effects For Audio Similarity At The Scale Of The Web (2009, background): “Fluctuation Patterns (FP) [6] [8] describe the amplitude mo dulation of the loudness per frequency band and are based”
- Are the Emotions Expressed in Music Genre-specific? An Audio-based Evaluation of Datasets Spanning Classical, Film, Pop and Mixed Genres (2011, methodology): “Rhythmic periodicity is assessed both from a spectral analysis of each band of the spectrogram, leading to a fluctuation pattern (Pampalk, Rauber, & Merkl, 2002 ), and based on the assessment of autocorrelation in the amplitude envelope extracted from the audio.”