Signal Processing Cup 2019

The 6th edition of the IEEE Signal Processing Cup took place from November the 14th 2018 to May the 13th 2019 with the theme “Search and Rescue with Drone-Embedded Sound Source Localization”. The goal was for participating teams to build a system capable of localizing a sound source based on audio recordings made with a microphone array embedded in an unmanned aerial vehicle (UAV). The first phase of the competition was open to teams of undergraduate students and ended on March the 11th 2019, while the final took place at ICASSP (Birghton, UK) on May the 13th 2019 between the three finalist teams. The data used in both phases was based on the DREGON dataset. We now make these data freely available here for research purpose, together with the ground truth solution files for each task.

The baseline method as well as evaluation scripts can be found on the followng GitHub:

The results obtained by all 20 participating teams as compared to the baseline can be seen here: SPCUP_2019_scores.pdf.

The microphone array and setup is the same as in the DREGON dataset.

A drone egonoise obtained from the participants data can be found here:

To download the files, right-click on their links and select “Save the link as…”.

Please add the following citation to any research paper referring to these data:

Audio-Based Search and Rescue With a Drone: Highlights From the IEEE Signal Processing Cup 2019 Student Competition Antoine Deleforge, Diego Di Carlo, Martin Strauss, Romain Serizel, Lucio Marcenaro, IEEE Signal Processing Magazine 36 (5), 2019.

First Phase

The complete rules and instructions for the first phase of the competition can be downloaded here: SPCup2019_syllabus.pdf.

Competition Data

Development Data

These data may be used to validate and/or train the developed methods before running them on the competition data.

Ground Truth Solution Files


The complete rules and instructions for the final phase of the competition can be downloaded here: SPCup2019_final_instructions.pdf.

Competition Data

Ground Truth Solution Files

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