Audio Explorer - VAST Challenge 2018 MC1 (Awarded “Excellent Comprehensive Submission”)

Colin Scruggs,Cameron Henkel,Charles D. Stolper

2018 IEEE Conference on Visual Analytics Science and Technology (VAST)（2018）

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摘要

The 2018 VAST Challenge Mini-challenge 1 poses a multifaceted data analysis problem requiring specialized insight into several fields of computing and visual analytics. In this paper we present our tool, Audio Explorer, that combines deep learning classification of audio files with geospatial and auditory visualization techniques in a user-friendly interface designed to promote information discovery.

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关键词

Human-centered computing,Visualization,Visualization design and evaluation methods,Machine learning,Machine learning approaches,Classification and regression trees,Neural networks

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