The LOCATA Challenge Data Corpus for Acoustic Source Localization and Tracking

Löllmann H, Evers C, Schmidt A, Mellmann H, Barfuß H, Naylor PA, Kellermann W (2018)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2018

Pages Range: 410-414

Event location: Sheffield GB

ISBN: 978-1-5386-4752-3

DOI: 10.1109/SAM.2018.8448644

Abstract

Algorithms for acoustic source localization and tracking are essential for a wide range of applications such as personal assistants, smart homes, tele-conferencing systems, hearing aids, or autonomous systems. Numerous algorithms have been proposed for this purpose which, however, are not evaluated and compared against each other by using a common database so far.
The IEEE-AASP Challenge on sound source localization and tracking (LOCATA) provides a novel, comprehensive data corpus for the objective benchmarking of state-of-the-art algorithms on sound source localization and tracking.
The data corpus comprises six tasks ranging from the localization of a single static sound source with a static microphone array to the tracking of multiple moving speakers with a moving microphone array. It contains real-world multichannel audio recordings, obtained by hearing aids, microphones integrated in a robot head, a planar and a spherical microphone array in an enclosed acoustic environment, as well as positional information about the involved arrays and sound sources represented by moving human talkers or static loudspeakers.

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:

Löllmann, H., Evers, C., Schmidt, A., Mellmann, H., Barfuß, H., Naylor, P.A., & Kellermann, W. (2018). The LOCATA Challenge Data Corpus for Acoustic Source Localization and Tracking. In Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM) (pp. 410-414). Sheffield, GB.

MLA:

Löllmann, Heinrich, et al. "The LOCATA Challenge Data Corpus for Acoustic Source Localization and Tracking." Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Sheffield 2018. 410-414.

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