| Tacotron: Towards end-to-end speech synthesis Y Wang, RJ Skerry-Ryan, D Stanton, Y Wu, RJ Weiss, N Jaitly, Z Yang, ... arXiv preprint arXiv:1703.10135, 2017 | 2595* | 2017 |
| Libritts: A corpus derived from librispeech for text-to-speech H Zen, V Dang, R Clark, Y Zhang, RJ Weiss, Y Jia, Z Chen, Y Wu arXiv preprint arXiv:1904.02882, 2019 | 1052 | 2019 |
| Towards end-to-end prosody transfer for expressive speech synthesis with tacotron RJ Skerry-Ryan, E Battenberg, Y Xiao, Y Wang, D Stanton, J Shor, ... international conference on machine learning, 4693-4702, 2018 | 727 | 2018 |
| The festival speech synthesis system A Black, P Taylor, R Caley, R Clark | 653* | 1998 |
| ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech X Wang, J Yamagishi, M Todisco, H Delgado, A Nautsch, N Evans, ... Computer Speech & Language 64, 101114, 2020 | 434 | 2020 |
| Multisyn: Open-domain unit selection for the Festival speech synthesis system RAJ Clark, K Richmond, S King Speech Communication 49 (4), 317-330, 2007 | 212 | 2007 |
| Festival 2–build your own general purpose unit selection speech synthesiser RAJ Clark, K Richmond, S King | 135 | 2004 |
| CHiVE: Varying prosody in speech synthesis with a linguistically driven dynamic hierarchical conditional variational network T Kenter, V Wan, CA Chan, R Clark, J Vit International Conference on Machine Learning, 3331-3340, 2019 | 111 | 2019 |
| The blizzard challenge 2008 V Karaiskos, S King, RAJ Clark, C Mayo Proc. Blizzard Challenge Workshop, 2008 | 104 | 2008 |
| Statistical analysis of the Blizzard Challenge 2007 listening test results RAJ Clark, M Podsiadlo, M Fraser, C Mayo, S King Proc. Blizzard 2007 (in Proc. Sixth ISCA Workshop on Speech Synthesis), 2007 | 103 | 2007 |
| Uncovering latent style factors for expressive speech synthesis Y Wang, RJ Skerry-Ryan, Y Xiao, D Stanton, J Shor, E Battenberg, ... arXiv preprint arXiv:1711.00520, 2017 | 90 | 2017 |
| 12 Animated speech: research progress and applications DW Massaro, MM Cohen, M Tabain, J Beskow, R Clark | 79 | 12 |
| Deep neural network-guided unit selection synthesis T Merritt, RAJ Clark, Z Wu, J Yamagishi, S King 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 76 | 2016 |
| End-to-end text-to-speech conversion S Bengio, Y Wang, Z Yang, Z Chen, Y Wu, I Agiomyrgiannakis, RJ Weiss, ... US Patent 10,573,293, 2020 | 61 | 2020 |
| Modelling prominence and emphasis improves unit-selection synthesis V Strom, A Nenkova, R Clark, Y Vazquez-Alvarez, J Brenier, S King, ... Interspeech 2007: 8th Annual Conference of the International Speech …, 2007 | 56 | 2007 |
| Informed blending of databases for emotional speech synthesis GO Hofer, K Richmond, RAJ Clark International Speech Communication Association, 2005 | 56 | 2005 |
| TUNDRA: a multilingual corpus of found data for TTS research created with light supervision A Stan, O Watts, Y Mamiya, M Giurgiu, RAJ Clark, J Yamagishi, S King INTERSPEECH 2013, 14th Annual Conference of the International Speech …, 2013 | 54 | 2013 |
| On generating Combilex pronunciations via morphological analysis K Richmond, R Clark, S Fitt | 54 | 2010 |
| Robust LTS rules with the Combilex speech technology lexicon K Richmond, S Fitt, RAJ Clark In Proc. Interspeech, pages 1295-1298, Brighton, UK, September 2009., 2009 | 52 | 2009 |
| Evaluating long-form text-to-speech: Comparing the ratings of sentences and paragraphs R Clark, H Silen, T Kenter, R Leith arXiv preprint arXiv:1909.03965, 2019 | 51 | 2019 |
Simon KingProfessor of Speech Processing, University of EdinburghEmail verificata su ed.ac.uk
