  Algorithms for acoustic source localization and tracking provide estimates of
the positional information about active sound sources in acoustic environments
and are essential for a wide range of applications such as personal assistants,
smart homes, tele-conferencing systems, hearing aids, or autonomous systems.
The aim of the IEEE-AASP Challenge on sound source localization and tracking
(LOCATA) was to objectively benchmark state-of-the-art localization and
tracking algorithms using an open-access data corpus of recordings for
scenarios typically encountered in audio and acoustic signal processing
applications. The challenge tasks ranged from the localization of a single
source with a static microphone array to the tracking of multiple moving
sources with a moving microphone array.
