Korin Richmond

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Junichi YamagishiNational Institute of Informatics, Tokyo, JapanVerified email at nii.ac.jp
Simon KingProfessor of Speech Processing, University of EdinburghVerified email at ed.ac.uk
Steve RenalsProfessor of Speech Technology, University of EdinburghVerified email at ed.ac.uk
Rob ClarkGoogleVerified email at google.com
Zhen-Hua LingUniversity of Science and Technology of ChinaVerified email at ustc.edu
Alan WrenchArticulate instruments LtdVerified email at articulateinstruments.com
Paul TaylorCEO, Thought MachineVerified email at google.com
Joao CabralTrinity College DublinVerified email at tcd.ie
Qiong HuAppleVerified email at apple.com
Ingmar SteinerVerified email at coli.uni-saarland.de
Yannis StylianouProfessor of Speech Processing, University of Crete and Research Manager at AppleVerified email at csd.uoc.gr
James M ScobbieProfessor of Speech Sciences, Queen Margaret UniversityVerified email at qmu.ac.uk
Ranniery MaiaSenior Postdoctoral Fellow, Federal University of Santa CatarinaVerified email at linse.ufsc.br
Aciel EshkyMachine Learning Researcher, Rasa TechnologiesVerified email at rasa.com
Manuel Sam RibeiroApplied Speech Scientist, AmazonVerified email at amazon.com
Alan W BlackProfessor, Language Technologies Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Padraic MonaghanUniversity of Amsterdam & Lancaster UniversityVerified email at lancs.ac.uk
Luca OnnisUniversità degli Studi di GenovaVerified email at unige.it
nick chaterProfessor of Behavioural Science, Warwick Business SchoolVerified email at wbs.ac.uk
Gregor HoferEdinburgh UniversityVerified email at speech-graphics.com

Korin Richmond

Centre for Speech Technology Research, University of Edinburgh

Verified email at cstr.ed.ac.uk - Homepage

Speech synthesis articulatory modelling articulatory-acoustic relationship lexicography


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Speech production knowledge in automatic speech recognition S King, J Frankel, K Livescu, E McDermott, K Richmond, M Wester The Journal of the Acoustical Society of America 121 (2), 723-742, 2007	226	2007
Multisyn: Open-domain unit selection for the Festival speech synthesis system RAJ Clark, K Richmond, S King Speech Communication 49 (4), 317-330, 2007	178	2007
Phonology impacts segmentation in online speech processing L Onnis, P Monaghan, K Richmond, N Chater Journal of Memory and Language 53 (2), 225-237, 2005	147	2005
Festival 2–build your own general purpose unit selection speech synthesiser RAJ Clark, K Richmond, S King	129	2004
The Festival Speech Synthesis System: System Documentation (1.1. 1) A Black Technical Report HCRC/TR-83, 1997	127*	1997
Announcing the electromagnetic articulography (day 1) subset of the mngu0 articulatory corpus K Richmond, P Hoole, S King Twelfth Annual Conference of the International Speech Communication Association, 2011	119	2011
Estimating articulatory parameters from the acoustic speech signal K Richmond The University of Edinburgh, 2002	117	2002
Modelling the uncertainty in recovering articulation from acoustics K Richmond, S King, P Taylor Computer Speech & Language 17 (2-3), 153-172, 2003	109	2003
Integrating articulatory features into HMM-based parametric speech synthesis ZH Ling, K Richmond, J Yamagishi, RH Wang IEEE Transactions on Audio, Speech, and Language Processing 17 (6), 1171-1185, 2009	106	2009
Continuous speech recognition using articulatory data A Wrench, K Richmond International Speech Communication Association, 2000	105	2000
A trajectory mixture density network for the acoustic-articulatory inversion mapping K Richmond Ninth International Conference on Spoken Language Processing, 2006	99	2006
Towards an improved modeling of the glottal source in statistical parametric speech synthesis JP Cabral, S Renals, K Richmond, J Yamagishi	78	2007
Speech recognition via phonetically-featured syllables S King, P Taylor, J Frankel, K Richmond University of the Saarland, 2000	64	2000
Glottal spectral separation for parametric speech synthesis JP Cabral, S Renals, K Richmond, J Yamagishi Ninth Annual Conference of the International Speech Communication Association, 2008	62	2008
Deep architectures for articulatory inversion B Uria, I Murray, S Renals, K Richmond Thirteenth Annual Conference of the International Speech Communication …, 2012	61	2012
An automatic speech recognition system using neural networks and linear dynamic models to recover and model articulatory traces J Frankel, K Richmond, S King, P Taylor International Speech Communication Association, 2000	61	2000
Trajectory mixture density networks with multiple mixtures for acoustic-articulatory inversion K Richmond Advances in Nonlinear Speech Processing, 263-272, 2007	59	2007
HMM-based speech synthesiser using the LF-model of the glottal source JP Cabral, S Renals, J Yamagishi, K Richmond 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011	56	2011
A deep neural network for acoustic-articulatory speech inversion B Uria, S Renals, K Richmond NIPS 2011 Workshop on Deep Learning and Unsupervised Feature Learning, 1-9, 2011	55	2011
Articulatory control of HMM-based parametric speech synthesis using feature-space-switched multiple regression ZH Ling, K Richmond, J Yamagishi IEEE Transactions on Audio, Speech, and Language Processing 21 (1), 207-219, 2012	53	2012

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