Deep learning features for robust detection of acoustic events in sleep-disordered breathing

Romero, H., Ma, N., Brown, G. orcid.org/0000-0001-8565-5476 et al. (2 more authors) (Accepted: 2019) Deep learning features for robust detection of acoustic events in sleep-disordered breathing. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-2019). IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 12-17 May 2019, Brighton, UK. IEEE . (In Press)

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 IEEE.
Dates:
  • Accepted: 4 February 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
INNOVATE UK (TSB)KTP009905
PASSION FOR LIFE HEALTHCARE (UK) LIMITEDC002
PASSION FOR LIFE HEALTHCARE (UK) LIMITEDUNSPECIFIED
PASSION FOR LIFE HEALTHCARE (UK) LIMITEDUNSPECIFIED
Depositing User: Symplectic Sheffield
Date Deposited: 12 Feb 2019 13:37
Last Modified: 12 Feb 2019 13:37
Status: In Press
Publisher: IEEE
Refereed: Yes

Download

Accepted Version


Under temporary embargo

Filename: romero_icassp_2019.pdf

Request a copy

Share / Export