User assisted separation of repeating patterns in time and frequency using magnitude projections
Derry FitzGerald, Zafar Rafii, Antoine Liutkus
Abstract
In this paper, we propose a simple user-assisted method for the recovery of repeating patterns in time and frequency which can occur in audio mixtures. Here, the user selects a region in a log-frequency spectrogram from which they seek to recover the underlying pattern, such as a repeating chord masked by a cough. Cross-correlation is then performed between the selected region and the spectrogram, revealing similar regions. The most similar region is then selected and a variant on the PROJET algorithm, termed PROJET-MAG, is used to extract the common time-frequency components from the two regions, as well as extracting the components which are not common. The results obtained are compared to another user-assisted method based on REPET, and PROJET-MAG is demonstrated to give improved results over this baseline.
BibTeX
@inproceedings{icassp2017_userassistedsepa,
title = {User assisted separation of repeating patterns in time and frequency using magnitude projections},
author = {Derry FitzGerald and Zafar Rafii and Antoine Liutkus},
booktitle = {ICASSP 2017},
year = {2017}
}