Improving Rhythmic Pattern Features Based on Logarithmic Preprocessing

Gruhne M, Dittmar C. Improving Rhythmic Pattern Features Based on Logarithmic Preprocessing. In: AES Convention 126. Audio Engineering Society; 2009. Paper 7817. Available from: https://aes.org/publications/elibrary-page/?id=15013

@inproceedings{Gruhne2009_15013,
  author = {Gruhne, Matthias and Dittmar, Christian},
  title = {{Improving Rhythmic Pattern Features Based on Logarithmic Preprocessing}},
  booktitle = {AES Convention 126},
  note = {Paper 7817},
  year = {2009},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=15013}
}

TY  - CPAPER
TI  - Improving Rhythmic Pattern Features Based on Logarithmic Preprocessing
AU  - Gruhne, Matthias
AU  - Dittmar, Christian
T2  - AES Convention 126
M1  - Paper 7817
PY  - 2009
DA  - 2009/05/06
UR  - https://aes.org/publications/elibrary-page/?id=15013
PB  - Audio Engineering Society
LA  - en
AB  - In the area of Music Information Retrieval, the rhythmic analysis of music plays an important role. In order to derive rhythmic information from music signals, several feature extraction algorithms have been described in the literature. Most of them extract the rhythmic information by auto-correlating the temporal envelope derived from different frequency bands of the music signal. Using the auto-correlated envelopes directly as an audio-feature is afflicted with the disadvantage of tempo dependency. To circumvent this problem, further post-processing via higher-order statistics has been proposed. However, the resulting statistical features are still tempo dependent to a certain extent. This paper describes a novel method, which logarithmizes the lag-axis of the auto-correlated envelope and discards the tempo-dependent part. This approach leads to tempo-invariant rhythmic features. A quantitative comparison of the original methods versus the proposed procedure is described and discussed in this paper.
ER  -