Sarah Taylor
Sarah Taylor
Verified email at uea.ac.uk
Title
Cited by
Cited by
Year
A deep learning approach for generalized speech animation
S Taylor, T Kim, Y Yue, M Mahler, J Krahe, AG Rodriguez, J Hodgins, ...
ACM Transactions on Graphics (TOG) 36 (4), 1-11, 2017
1302017
Dynamic Units of Visual Speech
SL Taylor, M Mahler, BJ Theobald, I Matthews
Eurographics/ACM SIGGRAPH Symposium on Computer Animation, 275-284, 2012
1132012
Time series classification with HIVE-COTE: The hierarchical vote collective of transformation-based ensembles
J Lines, S Taylor, A Bagnall
ACM Transactions on Knowledge Discovery from Data 12 (5), 2018
782018
Hive-cote: The hierarchical vote collective of transformation-based ensembles for time series classification
J Lines, S Taylor, A Bagnall
2016 IEEE 16th international conference on data mining (ICDM), 1041-1046, 2016
602016
A decision tree framework for spatiotemporal sequence prediction
T Kim, Y Yue, S Taylor, I Matthews
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
422015
Comparison of human and machine-based lip-reading.
S Hilder, RW Harvey, BJ Theobald
AVSP, 86-89, 2009
322009
Audio-to-Visual Speech Conversion Using Deep Neural Networks
S Taylor, A Kato, I Matthews, B Milner
Interspeech 2016}, 1482-1486, 2016
232016
In pursuit of visemes
S Hilder, BJ Theobald, R Harvey
Auditory-Visual Speech Processing 2010, 2010
202010
The effect of speaking rate on audio and visual speech
S Taylor, BJ Theobald, I Matthews
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
192014
A mouth full of words: Visually consistent acoustic redubbing
S Taylor, BJ Theobald, I Matthews
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
82015
Visual speech recognition: aligning terminologies for better understanding
HL Bear, S Taylor
arXiv preprint arXiv:1710.01292, 2017
72017
Generating a visually consistent alternative audio for redubbing visual speech
I Matthews, S Taylor, BJ Theobald
US Patent 9,922,665, 2018
62018
Synthesising visual speech using dynamic visemes and deep learning architectures
A Thangthai, B Milner, S Taylor
Computer Speech & Language 55, 101-119, 2019
42019
Systems and methods for speech animation using visemes with phonetic boundary context
BJ Theobald, M Meyerhofer, I Matthews, S Taylor
US Patent 9,911,218, 2018
32018
Visual speech synthesis using dynamic visemes, contextual features and DNNs
A Thangthai, B Milner, S Taylor
International Speech Communication Association, 2016
22016
The Effect of Real-Time Constraints on Automatic Speech Animation
D Websdale, S Taylor, B Milner
12018
Discovering dynamic visemes
S Taylor
University of East Anglia, 2013
12013
Learning from visual speech
S Taylor, T Kim, Y Yue, B Milner, I Matthews
The Journal of the Acoustical Society of America 140 (4), 3004-3004, 2016
2016
The system can't perform the operation now. Try again later.
Articles 1–18