Sound scene geotagging is a new topic of research which has evolved
from acoustic scene classification. It is motivated by the idea of
audio surveillance. Not content with only describing a scene in a recording,
a machine which can locate where the recording was captured would be
of use to many. In this paper we explore a series of common audio data
augmentation methods to evaluate which best improves the accuracy of
audio geotagging classifiers.
Our work improves
on the state-of-the-art city geotagging method by 23% in terms of classification
accuracy.
Cite as: Bear, H.L., Morfi, V., Benetos, E. (2021) An Evaluation of Data Augmentation Methods for Sound Scene Geotagging. Proc. Interspeech 2021, 581-585, doi: 10.21437/Interspeech.2021-1837
@inproceedings{bear21_interspeech,
author={Helen L. Bear and Veronica Morfi and Emmanouil Benetos},
title={{An Evaluation of Data Augmentation Methods for Sound Scene Geotagging}},
year=2021,
booktitle={Proc. Interspeech 2021},
pages={581--585},
doi={10.21437/Interspeech.2021-1837}
}