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LOCATA Challenge

@LOCATAChallenge
Joined February 2017
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The final dev & eval datasets for the @IEEE_AASP @LOCATAChallenge are released w/ open-access: doi.org/10.5281/zenodo.36304…. Recordings of static and moving speech sources in reverb, including ground-truth positional info, array signals, close-talking mic signals, hand-labelled VAD.

Data Corpus for the IEEE-AASP Challenge on Acoustic Source Localization and Tracking (LOCATA)

This repository contains the final release of the development and evaluation datasets for the LOCATA Challenge. The challenge of sound source localization in realistic environments has attracted...

zenodo.org
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Delighted that our @LOCATAChallenge paper, providing an overview of the database, was accepted for #SAM2018. Baseline results highlight that there is lots of room for improvement – get your algorithm ready and show us how much better you can do! Paper at lms.lnt.de/locata/publicatio…
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Pleased to announce the release of the @IEEE_AASP @LOCATAChallenge evaluation dataset for sound source localization and tracking. 130 researchers already registered for download of the dataset. Get your copy of the dataset at locata-challenge.org!
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61 registrations 30 days since the release of the @IEEE_AASP @LOCATAChallenge dev data! Register @ locata-challenge.org - recordings, mouth signals + ground-truth positions for 30 scenarios involving static & moving mic arrays + sound sources #audioprocessing #MachineLearning
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