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An evaluation of data augmentation methods for sound scene geotagging

2021-10-09 14:50:28
Helen L. Bear, Veronica Morfi, Emmanouil Benetos
arXiv_SD
       
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.

Abstract (translated)

URL

https://arxiv.org/abs/2110.04585

PDF

https://arxiv.org/pdf/2110.04585.pdf

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