Temporal Synchronization of Multiple Audio Signals
Venue
Proceedings of the International Conference on Signal Processing (ICASSP), Florence, Italy (2014)
Publication Year
2014
Authors
Julius Kammerl, Neil Birkbeck, Sasi Inguva, Damien Kelly, Andy Crawford, Hugh Denman, Anil Kokaram, Caroline Pantofaru
BibTeX
Abstract
Given the proliferation of consumer media recording devices, events often give rise
to a large number of recordings. These recordings are taken from different spatial
positions and do not have reliable timestamp information. In this paper, we present
two robust graph-based approaches for synchronizing multiple audio signals. The
graphs are constructed atop the over-determined system resulting from pairwise
signal comparison using cross-correlation of audio features. The first approach
uses a Minimum Spanning Tree (MST) technique, while the second uses Belief
Propagation (BP) to solve the system. Both approaches can provide excellent
solutions and robustness to pairwise outliers, however the MST approach is much
less complex than BP. In addition, an experimental comparison of audio
features-based synchronization shows that spectral flatness outperforms the
zero-crossing rate and signal energy.
