Low Complexity Musical Meter Estimation from Polyphonic Music

Rohden J, Cremer M, Herre J. Low Complexity Musical Meter Estimation from Polyphonic Music. In: AES Conference: 25th International Conference: Metadata for Audio. Audio Engineering Society; 2004. Paper 2-1. Available from: https://aes.org/publications/elibrary-page/?id=12803

@inproceedings{Rohden2004_12803,
  author = {Rohden, Jan and Cremer, Markus and Herre, Juergen},
  title = {{Low Complexity Musical Meter Estimation from Polyphonic Music}},
  booktitle = {AES Conference: 25th International Conference: Metadata for Audio},
  note = {Paper 2-1},
  year = {2004},
  month = jun,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=12803}
}

TY  - CPAPER
TI  - Low Complexity Musical Meter Estimation from Polyphonic Music
AU  - Rohden, Jan
AU  - Cremer, Markus
AU  - Herre, Juergen
T2  - AES Conference: 25th International Conference: Metadata for Audio
M1  - Paper 2-1
PY  - 2004
DA  - 2004/06/06
UR  - https://aes.org/publications/elibrary-page/?id=12803
PB  - Audio Engineering Society
LA  - en
AB  - This publication addresses the automated extraction of musical meter from audio signals on three hierarchical levels, namely tempo, tatum, and measure length. The presented approach analyzes consecutive segments of the audio signal equivalent to a few seconds length each, and detects periodicities in the temporal progression of the amplitude envelope. The tatum period, beat period, and measure length are estimated in a probabilistic manner from the periodicity function. An estimate of the time signature is obtained by applying musical knowledge. The advantages of the presented method reside in the ability to track tempo also in music with syncopated rhythms, and its computational efficiency.
ER  -