# An evaluation of data augmentation methods for sound scene geotagging

arXiv: https://arxiv.org/abs/2110.04585 · HTML: https://mlsanity.com/paper/2110.04585/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 9 Oct 2021.

## Built on by (most cited first, 1 of 1)

- [Acoustic scene classification using auditory datasets](https://mlsanity.com/paper/2112.13450/) (2021)

## Abstract (arXiv)

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.