Experiments on the DCASE Challenge 2016: Acoustic scene classification and sound event detection in real life recording

Abstract : 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 0.48 compared to the baseline of 0.91.
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Communication dans un congrès
DCASE2016 Workshop on Detection and Classification of Acoustic Scenes and Events, Sep 2016, Budapest, Hungary. 2016
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https://hal.inria.fr/hal-01354007
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Benjamin Elizalde, Anurag Kumar, Ankit Shah, Rohan Badlani, Emmanuel Vincent, et al.. Experiments on the DCASE Challenge 2016: Acoustic scene classification and sound event detection in real life recording. DCASE2016 Workshop on Detection and Classification of Acoustic Scenes and Events, Sep 2016, Budapest, Hungary. 2016. 〈hal-01354007v2〉

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