Toward Textual Annotation of Rhythmic Style in Electronic Dance Music

Jacobson K, Davies M, Sandler M. Toward Textual Annotation of Rhythmic Style in Electronic Dance Music. In: AES Convention 123. Audio Engineering Society; 2007. Paper 7268. Available from: https://aes.org/publications/elibrary-page/?id=14326

@inproceedings{Jacobson2007_14326,
  author = {Jacobson, Kurt and Davies, Matthew and Sandler, Mark},
  title = {{Toward Textual Annotation of Rhythmic Style in Electronic Dance Music}},
  booktitle = {AES Convention 123},
  note = {Paper 7268},
  year = {2007},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=14326}
}

TY  - CPAPER
TI  - Toward Textual Annotation of Rhythmic Style in Electronic Dance Music
AU  - Jacobson, Kurt
AU  - Davies, Matthew
AU  - Sandler, Mark
T2  - AES Convention 123
M1  - Paper 7268
PY  - 2007
DA  - 2007/10/06
UR  - https://aes.org/publications/elibrary-page/?id=14326
PB  - Audio Engineering Society
LA  - en
AB  - Music information retrieval encompasses a complex and diverse set of problems. Some recent work has focused on automatic textual annotation of audio data, paralleling work in image retrieval. Here we take a narrower approach to the automatic textual annotation of music signals and focus on rhythmic style. Training data for rhythmic styles are derived from simple, precisely labeled drum loops intended for content creation. These loops are already textually annotated with the rhythmic style they represent. The training loops are then compared against a database of music content to apply textual annotations of rhythmic style to unheard music signals. Three distinct methods of rhythmic analysis are explored. These methods are tested on a small collection of electronic dance music resulting in a labeling accuracy of 73%.
ER  -