# An evaluation of data augmentation methods for sound scene geotagging

**Authors:** Helen L. Bear, Veronica Morfi, Emmanouil Benetos  
**arXiv:** [2110.04585](https://arxiv.org/abs/2110.04585)  
**Date:** 2021-10-09  
**Summary page:** https://www.summarizepaper.com/en/paper/2110.04585v1/

## Abstract

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.