In this section
@inproceedings{Evers:2018:10.1109/IWAENC.2018.8521288,
author = {Evers, C and Loellmann, H and Mellmann, H and Schmidt, A and Barfuss, H and Naylor, P and Kellermann, W},
doi = {10.1109/IWAENC.2018.8521288},
publisher = {IEEE},
title = {LOCATA challenge - evaluation tasks and measures},
url = {http://dx.doi.org/10.1109/IWAENC.2018.8521288},
year = {2018}
}
TY - CPAPER
AB - Sound source localization and tracking algorithms provide estimatesof the positional information about active sound sources in acous-tic environments. Despite substantial advances and significant in-terest in the research community, a comprehensive benchmarkingcampaign of the various approaches using a common database ofaudio recordings has, to date, not been performed. The aim of theIEEE-AASP Challenge on sound source localization and tracking(LOCATA) is to objectively benchmark state-of-the-art localizationand tracking algorithms using an open-access data corpus of record-ings for scenarios typically encountered in audio and acoustic signalprocessing applications. The challenge tasks range from the local-ization of a single source with a static microphone array to trackingof multiple moving sources with a moving microphone array. Thispaper provides an overview of the challenge tasks, describes the per-formance measures used for evaluation of the LOCATA Challenge,and presents baseline results for the development dataset.
AU - Evers,C
AU - Loellmann,H
AU - Mellmann,H
AU - Schmidt,A
AU - Barfuss,H
AU - Naylor,P
AU - Kellermann,W
DO - 10.1109/IWAENC.2018.8521288
PB - IEEE
PY - 2018///
TI - LOCATA challenge - evaluation tasks and measures
UR - http://dx.doi.org/10.1109/IWAENC.2018.8521288
UR - https://ieeexplore.ieee.org/document/8521288
UR - http://hdl.handle.net/10044/1/62581
ER -
Speech and Audio Processing Lab
CSP Group, EEE Department
Imperial College London
Exhibition Road, London, SW7 2AZ, United Kingdom