Imperial College London

Dr Patrick A. Naylor

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Professor of Speech & Acoustic Signal Processing



+44 (0)20 7594 6235p.naylor Website




803Electrical EngineeringSouth Kensington Campus






BibTex format

author = {Evers, C and Loellmann, H and Mellmann, H and Schmidt, A and Barfuss, H and Naylor, P and Kellermann, W},
publisher = {IEEE},
title = {LOCATA Challenge - Evaluation Tasks and Measures},
url = {},

RIS format (EndNote, RefMan)

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
TI - LOCATA Challenge - Evaluation Tasks and Measures
UR -
ER -