CMMSD: A Data Set for Note-Level Segmentation of Monophonic Music

von Coler H, Lerch A. CMMSD: A Data Set for Note-Level Segmentation of Monophonic Music. In: AES Conference: 53rd International Conference: Semantic Audio. Audio Engineering Society; 2014. Paper P2-3. Available from: https://aes.org/publications/elibrary-page/?id=17099

@inproceedings{vonColer2014_17099,
  author = {von Coler, Henrik and Lerch, Alexander},
  title = {{CMMSD: A Data Set for Note-Level Segmentation of Monophonic Music}},
  booktitle = {AES Conference: 53rd International Conference: Semantic Audio},
  note = {Paper P2-3},
  year = {2014},
  month = jan,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=17099}
}

TY  - CPAPER
TI  - CMMSD: A Data Set for Note-Level Segmentation of Monophonic Music
AU  - von Coler, Henrik
AU  - Lerch, Alexander
T2  - AES Conference: 53rd International Conference: Semantic Audio
M1  - Paper P2-3
PY  - 2014
DA  - 2014/01/06
UR  - https://aes.org/publications/elibrary-page/?id=17099
PB  - Audio Engineering Society
LA  - en
AB  - A musical data set for note-level segmentation of monophonic music is presented. It contains 36 excerpts from commercial recordings of monophonic classical western music and features the instrument groups strings, woodwind and brass. The excerpts are self-contained phrases with a mean length of 17.97 seconds and an average of 20 notes. All phrases are played in moderate tempo, mostly with significant amounts of expressive articulation. A manually annotated ground truth splits each item into a sequence of the three states note, transition and rest. The set is designed as an open source project, aiming at the development and evaluation of algorithms for segmentation, music performance analysis and feature selection. This paper presents the process of ground truth labeling and a detailed description of the data set and its properties.
ER  -