Stephen Cox

1.8k citations

54 papers · 1.2k indexed · 1 hit paper · h-index 18

Impact in

Signal Processing top 1%
- Speech and Audio Processing
- Music and Audio Processing
Human-Computer Interaction top 1%
- Hand Gesture Recognition Systems

Papers in ⓘ

Signal Processing 27
- Speech and Audio Processing 21
- Music and Audio Processing 16
Artificial Intelligence 24
- Speech Recognition and Synthesis 16
- Speech and dialogue systems 9
- Natural Language Processing Techniques 6

Co-authors: Richard Harvey (6 shared papers)Jenny Bangham (2 shared papers)Iain Matthews (2 shared papers)T.F. Cootes (1 shared paper)Jacob Newman (14 shared papers)John S. Phillips (11 shared papers)Santiago Morales (1 shared paper)Qiang Huang (9 shared papers)
Journals: Speech Communication (2 papers)Computer Speech & Language (2 papers)Image and Vision Computing (2 papers)IEEE Transactions on Audio Speech and Language Processing (2 papers)Computers in Biology and Medicine (2 papers)
Partner nations: United Kingdom United States China

In The Last Decade

Stephen Cox

51 papers receiving 1.0k citations

Hit Papers

align trajectories log scale

Extraction of visual features for lipreading 2002 · 369 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2002 IEEE Transactions on Pattern Analysis and Machine Intelligence

Peers

Countries citing papers authored by Stephen Cox

Since Specialization

Citations

This map shows the geographic impact of Stephen Cox's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stephen Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Cox more than expected).

Fields of papers citing papers by Stephen Cox

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Cox. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stephen Cox. The network helps show where Stephen Cox may publish in the future.

Co-authors

The 25 scholars most cited alongside Stephen Cox, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stephen Cox Line = papers co-authored together Stephen Cox links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Extraction of visual features for lipreading IEEE Transactions on Pattern Analysis and Machine Intelligence ·Iain Matthews, T.F. Cootes, Jenny Bangham, Stephen Cox, Richard Harvey Hit paper breakdown →	2002	369
2	Tessa, a system to aid communication with deaf people ERA ·Stephen Cox, Michael Lincoln, Judy Tryggvason, Melanie Nakisa, Mark B. Wells, Marcus Tutt, Sanja Abbott	2002	140
3	Features And Classifiers For The Automatic Classification Of Musical Audio Signals. UEA Digital Repository (University of East Anglia) ·Kristopher West, Stephen Cox	2004	71
4	Modelling Errors in Automatic Speech Recognition for Dysarthric Speakers EURASIP Journal on Advances in Signal Processing ·Santiago Morales, Stephen Cox	2009	51
5	Improved speaker independent lip reading using speaker adaptive training and deep neural networks UEA Digital Repository (University of East Anglia) ·Ibrahim Almajai, Stephen Cox, Richard Harvey, Yuxuan Lan	2016	48
6	High-level approaches to confidence estimation in speech recognition IEEE Transactions on Speech and Audio Processing ·Stephen Cox, Srinandan Dasmahapatra	2002	32
7	Predictive speaker adaptation in speech recognition Computer Speech & Language ·Stephen Cox	1995	24
8	Visual units and confusion modelling for automatic lip-reading Image and Vision Computing ·Dominic Howell, Stephen Cox, Barry Theobald	2016	23
9	Iterative Classification Of Regional British Accents In I-Vector Space UEA Digital Repository (University of East Anglia) ·Andrea DeMarco, Stephen Cox	2012	21
10	Automatic annotation of tennis games: An integration of audio, vision, and learning Image and Vision Computing ·Fei Yan, Josef Kittler, David Windridge, William Christmas, Krystian Mikolajczyk, Stephen Cox, Qiang Huang	2014	21
11	An investigation into the diagnostic accuracy, reliability, acceptability and safety of a novel device for Continuous Ambulatory Vestibular Assessment (CAVA) Scientific Reports ·John S. Phillips, Jacob Newman, Stephen Cox	2019	20
12	Recent developments in automated lip-reading Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Richard Bowden, Stephen Cox, Richard Harvey, Yuxuan Lan, Eng-Jon Ong, Gari Owen, Barry-John Theobald	2013	19
13	Native accent classification via i-vectors and speaker compensation fusion Andrea DeMarco, Stephen Cox	2013	19
14	1D Convolutional Neural Networks for Detecting Nystagmus IEEE Journal of Biomedical and Health Informatics ·Jacob Newman, John S. Phillips, Stephen Cox	2020	19
15	VANESSA – A system for communication between Deaf and hearing people Technology and Disability ·John Glauert, R. Elliott, Stephen Cox, Judy Tryggvason, Mary Sheard	2006	19
16	Automatic nystagmus detection and quantification in long-term continuous eye-movement data Computers in Biology and Medicine ·Jacob Newman, John S. Phillips, Stephen Cox, John Fitzgerald, A. P. Bath	2019	18
17	Tennis Ball Tracking Using a Two-Layered Data Association Approach IEEE Transactions on Multimedia ·Xiangzeng Zhou, Lei Xie, Qiang Huang, Stephen Cox, Yanning Zhang	2015	18
18	A formulaic approach to translation at the post office: reading the signs Language & Communication ·Alison Wray, Stephen Cox, Mike Lincoln, Judy Tryggvason	2003	17
19	Language Identification Using Visual Features IEEE Transactions on Audio Speech and Language Processing ·Jacob Newman, Stephen Cox	2012	15
20	Stochastic and syntactic techniques for predicting phrase breaks Computer Speech & Language ·Ian Read, Stephen Cox	2006	14

About Stephen Cox

Stephen Cox is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Neurology and Ophthalmology, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include Speech and Audio Processing (21 papers), Music and Audio Processing (16 papers), Speech Recognition and Synthesis (16 papers), Vestibular and auditory disorders (10 papers), Speech and dialogue systems (9 papers), Glaucoma and retinal disorders (8 papers), Video Analysis and Summarization (8 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Signal Processing (679 citations), Human-Computer Interaction (235 citations), Computer Vision and Pattern Recognition (478 citations), Artificial Intelligence (378 citations) and Developmental and Educational Psychology (133 citations). Stephen Cox has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Richard Harvey, Jenny Bangham, Iain Matthews, T.F. Cootes, Jacob Newman, John S. Phillips, Santiago Morales, Qiang Huang, Sanja Abbott and Mark B. Wells. Their work appears in journals such as Speech Communication, Computer Speech & Language, Image and Vision Computing, IEEE Transactions on Audio Speech and Language Processing and Computers in Biology and Medicine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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