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



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Keywords: Speech quality; non-intrusive prediction; modulation energy; LSTM-network
  • 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:

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