Detrended Fluctuation Analysis of Music Signals: Danceability Estimation and Further Semantic Characterization

Herrera P, Streich S. Detrended Fluctuation Analysis of Music Signals: Danceability Estimation and Further Semantic Characterization. In: AES Convention 118. Audio Engineering Society; 2005. Paper 6409. Available from: https://aes.org/publications/elibrary-page/?id=13125

@inproceedings{Herrera2005_13125,
  author = {Herrera, Perfecto and Streich, Sebastian},
  title = {{Detrended Fluctuation Analysis of Music Signals: Danceability Estimation and Further Semantic Characterization}},
  booktitle = {AES Convention 118},
  note = {Paper 6409},
  year = {2005},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13125}
}

TY  - CPAPER
TI  - Detrended Fluctuation Analysis of Music Signals: Danceability Estimation and Further Semantic Characterization
AU  - Herrera, Perfecto
AU  - Streich, Sebastian
T2  - AES Convention 118
M1  - Paper 6409
PY  - 2005
DA  - 2005/05/06
UR  - https://aes.org/publications/elibrary-page/?id=13125
PB  - Audio Engineering Society
LA  - en
AB  - The detrended fluctuation analysis (DFA) has been proposed by Peng et al. and was first applied in biomedical analysis. Jennings et al. introduced the method to the field of music analysis by using the DFA exponent for musical genre classification. In this paper we further exploit the relation of this low-level feature to semantic music descriptions. The feature has been computed on a large-scale collection of 7750 tracks for which manually annotated semantic labels like "energetic" or "melancholic" where available. Associations with high statistical significance could be found between some of these labels and the DFA exponent. The findings sustain the hypothesis that this feature can be linked to a musical attribute which might be described as "danceability".
ER  -