Estimation of the reliability of multiple rhythm features extraction from a single descriptor
Elio Quinton, Mark B. Sandler, Simon Dixon
Abstract
The design of systems for automatic audio feature extraction is a central aspect of the field of Music Information Retrieval. However, feature extraction systems often do not provide an indication of the reliability of the corresponding feature. Nevertheless, the provision of a reliability or confidence measure can be critical for the usage of a given feature in complex systems and real-world applications. In the present study we investigate the relationship between the entropy of a rhythmogram, which has been proposed as a descriptor of tempo salience in previous work, and the reliability of the extraction of multiple high level rhythm related features. The results show that this single descriptor is viable for simultaneously estimating the reliability of multiple rhythm features extraction. The results also provide quantitative insight that is consistent with qualitative observations extensively reported in the literature on a qualitative basis.
BibTeX
@inproceedings{icassp2016_estimationofther,
title = {Estimation of the reliability of multiple rhythm features extraction from a single descriptor},
author = {Elio Quinton and Mark B. Sandler and Simon Dixon},
booktitle = {ICASSP 2016},
year = {2016}
}