Improving audio-visual speech recognition using deep neural networks with dynamic stream reliability estimates

Meutzner, H., Ma, N. orcid.org/0000-0002-4112-3109, Nickel, R. et al. (2 more authors) (2017) Improving audio-visual speech recognition using deep neural networks with dynamic stream reliability estimates. In: Proceedings of the 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017). 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), 5-9 March 2017, New Orleans, Louisiana, USA. IEEE , pp. 5320-5324. ISBN 9781509041176

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Keywords: audio-visual speech recognition; deep neural networks; feature fusion; dynamic stream weighting
Dates:
  • Published: 19 June 2017
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: 25 Sep 2017 08:29
Last Modified: 20 Mar 2018 22:28
Published Version: https://doi.org/10.1109/ICASSP.2017.7953172
Status: Published
Publisher: IEEE
Refereed: Yes
Identification Number: https://doi.org/10.1109/ICASSP.2017.7953172

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