An Evaluation of Data Augmentation Methods for Sound Scene Geotagging.
Interspeech(2021)
摘要
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.
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关键词
computational sound scene analysis,data augmentation,sound scene geotagging,city classification
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