2026 Steve Renals: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	70	1896	1836	111	110	382	16839

Research.com Recognitions

2025 - Research.com Computer Science in United Kingdom Leader Award
2023 - Research.com Computer Science in United Kingdom Leader Award
2022 - Research.com Computer Science in United Kingdom Leader Award

Overview

Steve Renals is affiliated with the University of Edinburgh in the United Kingdom. Their research primarily focuses on fields within Computer Science, with a significant emphasis on Signal Processing and Artificial Intelligence. Other areas of interest include Experimental and Cognitive Psychology, Genetics, and Electrical and Electronic Engineering.

Their scholarly contributions cover a range of topics such as:

Speech Recognition and Synthesis
Speech and Audio Processing
Music and Audio Processing
Phonetics and Phonology Research
Natural Language Processing Techniques
Topic Modeling
Cleft Lip and Palate Research

Renals has been involved in publishing numerous papers, with recent notable works including:

"Adaptation Algorithms for Neural Network-Based Speech Recognition: An Overview", 2020, published in IEEE Open Journal of Signal Processing
"Exploiting ultrasound tongue imaging for the automatic detection of speech articulation errors", 2021, published in Speech Communication
"Multi-Stream Acoustic Modelling Using Raw Real and Imaginary Parts of the Fourier Transform", 2023, published in IEEE/ACM Transactions on Audio Speech and Language Processing
"European Language Grid: An Overview", 2020, published on arXiv (Cornell University)
"Automatic audiovisual synchronisation for ultrasound tongue imaging", 2021, published in Speech Communication

Their research work has been disseminated through frequent publication venues that include:

arXiv (Cornell University)
IEEE/ACM Transactions on Audio Speech and Language Processing
Speech Communication
IEEE Open Journal of Signal Processing
Interspeech 2022

Renals has collaborated extensively with several researchers, with frequent coauthors being:

Peter Bell
Erfan Loweimi
Manuel Sam Ribeiro
Aciel Eshky
Korin Richmond

The breadth of Renals' work spans advanced methodologies in speech and audio processing, including the development and adaptation of neural network algorithms for speech recognition, as well as innovative techniques involving ultrasound tongue imaging applied to speech articulation.

Best Publications

Proceedings of the ACL Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and/or Summarization

Gabriel Murray;Steve Renals;Jean Carletta;Johanna Moore

548
Citations
WSJCAMO: a British English speech corpus for large vocabulary continuous speech recognition

T. Robinson;J. Fransen;D. Pye;J. Foote

476
Citations
Connectionist probability estimators in HMM speech recognition

S. Renals;N. Morgan;H. Bourlard;M. Cohen

377
Citations
Speaker verification using sequence discriminant support vector machines

V. Wan;S. Renals

314
Citations
Extractive summarization of meeting recordings.

Gabriel Murray;Steve Renals;Jean Carletta

302
Citations
Convolutional Neural Networks for Distant Speech Recognition

Pawel Swietojanski;Arnab Ghoshal;Steve Renals

293
Citations
Document space models using latent semantic analysis.

Yoshihiko Gotoh;Steve Renals

284
Citations
Proceedings of Interspeech 2013

Liang Lu;Arnab Ghoshal;Steve Renals

282
Citations
Learning hidden unit contributions for unsupervised speaker adaptation of neural network acoustic models

Pawel Swietojanski;Steve Renals

263
Citations
Multilingual training of deep neural networks

Arnab Ghoshal;Pawel Swietojanski;Steve Renals

262
Citations
Robust Speaker-Adaptive HMM-Based Text-to-Speech Synthesis

J. Yamagishi;T. Nose;H. Zen;Zhen-Hua Ling

248
Citations
Speaker-Adaptation for Hybrid HMM-ANN Continuous Speech Recognition System

João Paulo Neto;Luís B. Almeida;Mike Hochberg;Ciro Martins

244
Citations
THE USE OF RECURRENT NEURAL NETWORKS IN CONTINUOUS SPEECH RECOGNITION

Tony Robinson;Mike Hochberg;Steve Renals

235
Citations
Recognition and understanding of meetings the AMI and AMIDA projects

S. Renals;T. Hain;H. Bourlard

183
Citations
The MGB challenge: Evaluating multi-genre broadcast media recognition

P Bell;M J F Gales;T Hain;J Kilgour

171
Citations
Speech and crosstalk detection in multichannel audio

S.N. Wrigley;G.J. Brown;V. Wan;S. Renals

170
Citations
Punctuation annotation using statistical prosody models.

Heidi Christensen;Yoshihiko Gotoh;Steve Renals

166
Citations
Unsupervised cross-lingual knowledge transfer in DNN-based LVCSR

Pawel Swietojanski;Arnab Ghoshal;Steve Renals

162
Citations
Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing

Pawel Swietojanski;Steve Renals

79
Citations
The development of the AMI system for the transcription of speech in meetings

Thomas Hain;Lukas Burget;John Dines;Iain McCowan

61
Citations
Proc IEEE International Conference on Acoustics, Speech and Signal Processing

Peter Bell;Steve Renals

47
Citations
Proceedings of the 6th International Conference on Spoken Language Processing

Konstantinos Koumpis;Steve Renals

29
Citations
Speaker Verification Using Sequence Discriminant

Vincent Wan;Steve Renals

0
Citations

Frequent Co-Authors

Hervé Bourlard Idiap Research Institute

Thomas Hain University of Sheffield

Nelson Morgan International Computer Science Institute

Junichi Yamagishi National Institute of Informatics

Iain Murray University of Edinburgh

Johanna D. Moore University of Edinburgh

Martin Karafiat Brno University of Technology

Oliver Lemon Heriot-Watt University

Horacio Franco SRI International

Daniel P. W. Ellis Google (United States)

External Links

Wikipedia of Steve Renals Personal website of Steve Renals Google Scholar page

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