Using contextual information in Joint Factor Eigenspace MLLR for speech recognition in diverse scenarios

Saz, O. and Hain, T. orcid.org/0000-0003-0939-3464 (2014) Using contextual information in Joint Factor Eigenspace MLLR for speech recognition in diverse scenarios. In: Proceedings of the 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 4 - 9th May, 2014, Florence, Italy. IEEE .

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2014 IEEE. This is an author produced version of a paper subsequently published in Proceedings of the 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). Uploaded in accordance with the publisher's self-archiving policy.
Dates:
  • Published: May 2014
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 15 Aug 2016 09:32
Last Modified: 24 Oct 2016 18:36
Published Version: http://dx.doi.org/10.1109/ICASSP.2014.6854819
Status: Published
Publisher: IEEE
Refereed: Yes
Identification Number: https://doi.org/10.1109/ICASSP.2014.6854819

Share / Export

Statistics