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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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https://hal.inria.fr/hal-01354007
Contributor : Emmanuel Vincent <>
Submitted on : Tuesday, August 16, 2016 - 5:47:00 PM
Last modification on : Tuesday, November 12, 2019 - 3:24:04 PM
Document(s) archivé(s) le : Thursday, November 17, 2016 - 10:50:22 AM

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  • HAL Id : hal-01354007, version 1

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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. ⟨hal-01354007v1⟩

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