Proceedings of the LOCATA Challenge Workshop - a satellite event of IWAENC 2018

11/20/2018
by   Heinrich W. Loellmann, et al.
0

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.

READ FULL TEXT
research
09/03/2019

The LOCATA Challenge: Acoustic Source Localization and Tracking

The ability to localize and track acoustic events is a fundamental prere...
research
04/29/2019

Localization, Detection and Tracking of Multiple Moving Sound Sources with a Convolutional Recurrent Neural Network

This paper investigates the joint localization, detection, and tracking ...
research
12/04/2018

Localization and Tracking of an Acoustic Source using a Diagonal Unloading Beamforming and a Kalman Filter

We present the signal processing framework and some results for the IEEE...
research
01/20/2019

MilliSonic: Pushing the Limits of Acoustic Motion Tracking

Recent years have seen interest in device tracking and localization usin...
research
12/12/2018

Description of algorithms for Ben-Gurion University Submission to the LOCATA challenge

This paper summarizes the methods used to localize the sources recorded ...
research
01/25/2019

LOCATA challenge: speaker localization with a planar array

This document describes our submission to the 2018 LOCalization And TrAc...
research
06/09/2020

C-SL: Contrastive Sound Localization with Inertial-Acoustic Sensors

Human brain employs perceptual information about the head and eye moveme...

Please sign up or login with your details

Forgot password? Click here to reset