The LOCATA Challenge: Acoustic Source Localization and Tracking

Evers C, Löllmann H, Mellmann H, Schmidt A, Barfuß H, Naylor P, Kellermann W (2020)

Publication Language: English

Publication Type: Journal article, Original article

Publication year: 2020

Journal

IEEE/ACM Transactions on Audio, Speech and Language Processing Institute of Electrical and Electronics Engineers (IEEE)

Book Volume: 28

Pages Range: 1620-1643

URI: https://ieeexplore.ieee.org/document/9079214

DOI: 10.1109/TASLP.2020.2990485

Abstract

The ability to localize and track acoustic events is a fundamental prerequisite for equipping machines with the ability
to be aware of and engage with humans in their surrounding environment. However, in realistic scenarios, audio signals are adversely affected by reverberation, noise, interference, and periods of speech inactivity. In dynamic scenarios, where the sources and microphone platforms may be moving, the signals are additionally affected by variations in the source-sensor geometries. In practice, approaches to sound source localization and tracking are often impeded by missing estimates of active sources, estimation errors, as well as false estimates. The aim of the
LOCAlization and TrAcking (LOCATA) Challenge is an openaccess framework for the objective evaluation and benchmarking of broad classes of algorithms for sound source localization and tracking. This paper provides a review of relevant localization and tracking algorithms and, within the context of the existing literature,a detailed evaluation and dissemination of the LOCATA submissions. The evaluation highlights achievements in the field, open challenges, and identifies potential future directions.

Authors with CRIS profile

Heinrich Löllmann Professur für Signalverarbeitung Alexander Schmidt Professur für Signalverarbeitung Hendrik Barfuß Professur für Signalverarbeitung Walter Kellermann Professur für Signalverarbeitung

Involved external institutions

Imperial College London / The Imperial College of Science, Technology and Medicine GB United Kingdom (GB)

How to cite

APA:

Evers, C., Löllmann, H., Mellmann, H., Schmidt, A., Barfuß, H., Naylor, P., & Kellermann, W. (2020). The LOCATA Challenge: Acoustic Source Localization and Tracking. IEEE/ACM Transactions on Audio, Speech and Language Processing, 28, 1620-1643. https://doi.org/10.1109/TASLP.2020.2990485

MLA:

Evers, Christine, et al. "The LOCATA Challenge: Acoustic Source Localization and Tracking." IEEE/ACM Transactions on Audio, Speech and Language Processing 28 (2020): 1620-1643.

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