Evaluating Rhythmic descriptors for Musical Genre Classification

Dixon S, Pampalk E, Widmer G. Evaluating Rhythmic descriptors for Musical Genre Classification. In: AES Conference: 25th International Conference: Metadata for Audio. Audio Engineering Society; 2004. Paper 6-2. Available from: https://aes.org/publications/elibrary-page/?id=12819

@inproceedings{Dixon2004_12819,
  author = {Dixon, Simon and Pampalk, Elias and Widmer, Gerhard},
  title = {{Evaluating Rhythmic descriptors for Musical Genre Classification}},
  booktitle = {AES Conference: 25th International Conference: Metadata for Audio},
  note = {Paper 6-2},
  year = {2004},
  month = jun,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=12819}
}

TY  - CPAPER
TI  - Evaluating Rhythmic descriptors for Musical Genre Classification
AU  - Dixon, Simon
AU  - Pampalk, Elias
AU  - Widmer, Gerhard
T2  - AES Conference: 25th International Conference: Metadata for Audio
M1  - Paper 6-2
PY  - 2004
DA  - 2004/06/06
UR  - https://aes.org/publications/elibrary-page/?id=12819
PB  - Audio Engineering Society
LA  - en
AB  - Organising or browsing music collections in a musically meaningful way calls for tagging the data in terms of e.g. rhythmic, melodic or harmonic aspects, among others. In some cases, such metadata can be extracted automatically from musical files; in others, a trained listener must extract it by hand. In this article, we consider a specific set of rhythmic descriptors for which we provide procedures of automatic extraction from audio signals. Evaluating the relevance of such descriptors is a difficult task that can easily become highly subjective. To avoid this pitfall, we assessed the relevance of these descriptors by measuring their rate of success in genre classification experiments. We conclude on the particular relevance of the tempo and a set of 15 MFCC-like descriptors.
ER  -