On behalf of the organising committee, I am pleased to announce the release of the development dataset for the IEEE-AASP Challenge on Acoustic Source Localization and Tracking (LOCATA).
The aim of this challenge is to provide researchers in the field of acoustic source localization and tracking the opportunity to benchmark their...
IEEE Xplore Access:
Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP)
Authors:
C. Evers, Y. Dorfan, S. Gannot, and P. A. Naylor
Abstract:
Intuitive spoken dialogues are a prerequisite for human-robot interaction. In many practical situations, robots must be able to identify and focus on sources of interest in the presence of...
IEEE Xplore Access:
Proc. Joint Workshop on Hands-Free Speech Communications and Microphone Arrays (HSCMA)
Authors:
Israel D. Gebru, Christine Evers, Patrick A. Naylor, Radu Horaud
Abstract:
This paper proposes a novel audio-visual tracking approach that exploits constructively audio and visual modalities in order to estimate trajectories of multiple people in a joint state space. The...
IEEE Xplore Access:
in Proc. Hands-free Speech Communications and Microphone Arrays (HSCMA)
Authors:
Christine Evers, Boaz Rafaely, and Patrick A. Naylor
Abstract:
Accurate estimation of the Direction of Arrival (DOA) of a sound source is an important prerequisite for a wide range of acoustic signal processing applications. However, in enclosed environments, early reflections and late...
IEEEXplore Access:
in Proc. European Signal Processing Conf. (EUSIPCO), Budapest, Hungary, Aug. 2016
Authors:
C. Evers , Y. Dorfan, S. Gannot, and P. A. Naylor
Abstract:
Speaker localization algorithms often assume static location for all sensors. This assumption simplifies the models used, since all acoustic transfer functions are linear time invariant. In many applications this...
IEEEXplore Access:
in Proc. IEEE Intl. Conf. Digital Signal Processing (DSP), Singapore, July 2015
Authors:
C. Evers , J. Sheaffer, A. H. Moore, B. Rafaely, and P. A. Naylor
Abstract:
This paper focuses on speaker tracking in robot audition for human-robot interaction. Using only acoustic signals, speaker tracking in enclosed spaces is subject to missing...
