The final dev & eval datasets for the @IEEE_AASP@LOCATAChallenge are released w/ open-access: https://t.co/44Cd53GvrE. Recordings of static and moving speech sources in reverb, including ground-truth positional info, array signals, close-talking mic signals, hand-labelled VAD.
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 https://t.co/0DqfuM0Nc4
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 https://t.co/4A1PDiSQcu!
61 registrations 30 days since the release of the @IEEE_AASP@LOCATAChallenge dev data! Register @ https://t.co/4A1PDiBfkW - recordings, mouth signals + ground-truth positions for 30 scenarios involving static & moving mic arrays + sound sources #audioprocessing#MachineLearning