Non-intrusive speech quality prediction using modulation energies and LSTM-network

Cauchi, B., Siedenburg, K., Santos, J.F. et al. (3 more authors) (2019) Non-intrusive speech quality prediction using modulation energies and LSTM-network. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 27 (7). pp. 1151-1163. ISSN 2329-9290

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 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: Speech quality; non-intrusive prediction; modulation energy; LSTM-network
Dates:
  • Accepted: 9 April 2019
  • Published (online): 18 April 2019
  • Published: July 2019
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: 06 Apr 2020 09:58
Last Modified: 18 May 2020 07:43
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: https://doi.org/10.1109/taslp.2019.2912123

Share / Export

Statistics