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 RenalsUniversity of EdinburghVerified email at ed.ac.uk
Rob ClarkGoogleVerified email at google.com
Zhen-Hua Ling（凌震华）Professor, University of Science and Technology of ChinaVerified email at ustc.edu.cn
Alan WrenchArticulate instruments LtdVerified email at articulateinstruments.com
Manuel Sam RibeiroApplied Speech Scientist, AmazonVerified email at amazon.com
Aciel EshkyMachine Learning ScientistVerified email at ed.ac.uk
Paul TaylorCEO, Thought MachineVerified email at google.com
Joao Paulo CabralVerified email at voicetune.ai
Qiong HuGoogleVerified email at google.com
Ingmar SteinerFraunhofer IAISVerified email at iais.fraunhofer.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 MaiaAssistant Professor, Federal University of Rio Grande do NorteVerified email at dimap.ufrn.br
Padraic MonaghanLancaster UniversityVerified email at lancs.ac.uk
Luca OnnisUniversity of OsloVerified email at uio.no
nick chaterProfessor of Behavioural Science, Warwick Business SchoolVerified email at wbs.ac.uk
Javier LatorreAppleVerified email at apple.com
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	255	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	212	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	187	2005
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	176	2011
Estimating articulatory parameters from the acoustic speech signal K Richmond The University of Edinburgh, 2002	146	2002
Festival 2–build your own general purpose unit selection speech synthesiser RAJ Clark, K Richmond, S King	135	2004
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	133	2009
A trajectory mixture density network for the acoustic-articulatory inversion mapping K Richmond INTERSPEECH 2006-ICSLP Ninth International Conference on Spoken Language …, 2006	124	2006
Continuous speech recognition using articulatory data A Wrench, K Richmond International Speech Communication Association, 2000	119	2000
Modelling the uncertainty in recovering articulation from acoustics K Richmond, S King, P Taylor Computer Speech & Language 17 (2-3), 153-172, 2003	118	2003
Attentive filtering networks for audio replay attack detection CI Lai, A Abad, K Richmond, J Yamagishi, N Dehak, S King ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019	101	2019
Deep architectures for articulatory inversion B Uria, I Murray, S Renals, K Richmond INTERSPEECH 2012 13th Annual Conference of the International Speech …, 2012	88	2012
Towards an improved modeling of the glottal source in statistical parametric speech synthesis JP Cabral, S Renals, K Richmond, J Yamagishi	82	2007
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	74	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	69	2000
Trajectory mixture density networks with multiple mixtures for acoustic-articulatory inversion K Richmond Advances in Nonlinear Speech Processing, 263-272, 2007	68	2007
Glottal spectral separation for parametric speech synthesis J Cabral, S Renals, K Richmond, J Yamagishi Proc. Interspeech, 1829-1832, 2008	67	2008
Speech recognition via phonetically-featured syllables S King, P Taylor, J Frankel, K Richmond University of the Saarland, 2000	67	2000
An analysis of HMM-based prediction of articulatory movements ZH Ling, K Richmond, J Yamagishi Speech Communication 52 (10), 834-846, 2010	63	2010
A deep neural network for acoustic-articulatory speech inversion B Uria, S Renals, K Richmond Proc. NIPS 2011 Workshop on Deep Learning and Unsupervised Feature Learning, 2011	62	2011

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