Experiments on the DCASE Challenge 2016: Acoustic Scene Classification and Sound Event Detection in Real Life Recording
Published in IEEE AASP Challenge: Detection and Classification of Acoustic Scenes and Events, 2016
In this paper we present our work on Task 1 Acoustic Scene Classification and Task 3 Sound Event Detection in Real Life Recordings. Among our experiments we have low-level and high-level features, classifier optimization and other heuristics specific to each task. Our performance for both tasks improved the baseline from DCASE: for Task 1 we achieved an overall accuracy of 78.9% compared to the baseline of 72.6% and for Task 3 we achieved a Segment-Based Error Rate of 0.76 compared to the baseline of 0.91.
Recommended citation: @inproceedings{elizalde2016experiments, title={Experiments on the DCASE Challenge 2016: Acoustic Scene Classification and Sound Event Detection in Real Life Recording}, author={Elizalde, Benjamin and Kumar, Anurag and Shah, Ankit and Badlani, Rohan and Vincent, Emmanuel and Raj, Bhiksha and Lane, Ian}, booktitle={IEEE AASP Challenge: Detection and Classification of Acoustic Scenes and Events}, year={2016} }
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