Audio-visual tracking of multiple speakers via a PMBM filter

Zhao, J., Wu, P., Liu, X. et al. (4 more authors) (2022) Audio-visual tracking of multiple speakers via a PMBM filter. In: Proceedings of the 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022). 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), 23-27 May 2022, Singapore. IEEE , pp. 5068-5072. ISBN 9781665405416

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.

Keywords: multiple-speaker tracking; audio-visual fusion; PMBM filter
Dates:
  • Published: 27 April 2022
  • Published (online): 27 April 2022
  • Accepted: 21 January 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Funding Information:
Funder
Grant number
UNITED STATES DEPARTMENT OF DEFENSE
UNSPECIFIED
Depositing User: Symplectic Sheffield
Date Deposited: 18 Feb 2022 13:26
Last Modified: 27 Apr 2023 00:13
Status: Published
Publisher: IEEE
Refereed: Yes
Identification Number: 10.1109/ICASSP43922.2022.9747595
Related URLs:
Open Archives Initiative ID (OAI ID):

Export

Statistics