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The LOCATa challenge data corpus for acoustic source localization and tracking

The LOCATa challenge data corpus for acoustic source localization and tracking
The LOCATa challenge data corpus for acoustic source localization and tracking

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.

2151-870X
410-414
IEEE Computer Society
Lollmann, Heinrich W.
dc09f246-39df-45b5-8a06-92ad76f40d40
Evers, Christine
93090c84-e984-4cc3-9363-fbf3f3639c4b
Schmidt, Alexander
364b69e1-ac6c-4528-979c-861419bb16ec
Mellmann, Heinrich
c09d4614-32c3-412c-bfd7-771e26ec85e7
Barfuss, Hendrik
c68aea09-f353-48a5-ba52-ff876c8f6b78
Naylor, Patrick A.
13079486-664a-414c-a1a2-01a30bf0997b
Kellermann, Walter
4b3c33f7-9451-4559-896a-01aa917b056a
Lollmann, Heinrich W.
dc09f246-39df-45b5-8a06-92ad76f40d40
Evers, Christine
93090c84-e984-4cc3-9363-fbf3f3639c4b
Schmidt, Alexander
364b69e1-ac6c-4528-979c-861419bb16ec
Mellmann, Heinrich
c09d4614-32c3-412c-bfd7-771e26ec85e7
Barfuss, Hendrik
c68aea09-f353-48a5-ba52-ff876c8f6b78
Naylor, Patrick A.
13079486-664a-414c-a1a2-01a30bf0997b
Kellermann, Walter
4b3c33f7-9451-4559-896a-01aa917b056a

Lollmann, Heinrich W., Evers, Christine, Schmidt, Alexander, Mellmann, Heinrich, Barfuss, Hendrik, Naylor, Patrick A. and Kellermann, Walter (2018) The LOCATa challenge data corpus for acoustic source localization and tracking. In 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop, SAM 2018. vol. 2018-July, IEEE Computer Society. pp. 410-414 . (doi:10.1109/SAM.2018.8448644).

Record type: Conference or Workshop Item (Paper)

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.

Full text not available from this repository.

More information

Published date: 27 August 2018
Venue - Dates: 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2018, , Sheffield, United Kingdom, 2018-07-07 - 2018-07-10

Identifiers

Local EPrints ID: 446136
URI: http://eprints.soton.ac.uk/id/eprint/446136
ISSN: 2151-870X
PURE UUID: b6e66181-7686-4df8-af78-7cf6d3576413
ORCID for Christine Evers: ORCID iD orcid.org/0000-0003-0757-5504

Catalogue record

Date deposited: 21 Jan 2021 17:35
Last modified: 18 Feb 2021 17:41

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Contributors

Author: Heinrich W. Lollmann
Author: Christine Evers ORCID iD
Author: Alexander Schmidt
Author: Heinrich Mellmann
Author: Hendrik Barfuss
Author: Patrick A. Naylor
Author: Walter Kellermann

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