Sarah L. Taylor

Time Series Classification with HIVE-COTE

Jason Lines, Anthony J. Bagnall, Sarah Taylor, 2018, ACM Trans. Knowl. Discov. Data.

HIVE-COTE: The Hierarchical Vote Collective of Transformation-Based Ensembles for Time Series Classification

Jason Lines, Anthony J. Bagnall, Sarah Taylor, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Discovering dynamic visemes

Sarah Taylor, Sarah L. Taylor, 2013 .

Speech-Driven Conversational Agents using Conditional Flow-VAEs

Sarah Taylor, Iain Matthews, David Greenwood, 2021, CVMP.

A deep learning approach for generalized speech animation

Yisong Yue, Jessica K. Hodgins, Moshe Mahler, 2017, ACM Trans. Graph..

Dynamic units of visual speech

Moshe Mahler, Barry-John Theobald, Iain A. Matthews, 2012, SCA '12.

Constant Velocity Constraints for Self-Supervised Monocular Depth Estimation

Hang Zhou, David Greenwood, Sarah Taylor, 2020, CVMP.

The Effect of Real-Time Constraints on Automatic Speech Animation

Ben P. Milner, Sarah Taylor, Danny Websdale, 2018, INTERSPEECH.

Audio-to-Visual Speech Conversion Using Deep Neural Networks

Ben P. Milner, Iain A. Matthews, Akihiro Kato, 2016, INTERSPEECH.

Synthesising visual speech using dynamic visemes and deep learning architectures

Ausdang Thangthai, Ben P. Milner, Sarah Taylor, 2019, Comput. Speech Lang..