World's Best Scientists 2026 revealed!
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Computer Science
UK
2023

D-Index & Metrics

Computer Science

D-Index
63
Citations
16722
World Ranking
2745
National Ranking
160

Research.com Recognitions

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

Overview

Mark J. F. Gales is affiliated with the University of Cambridge in the United Kingdom. Their research contributions primarily span the field of Computer Science, with a strong focus on Artificial Intelligence. Additional subfields include Computer Vision and Pattern Recognition, Signal Processing, Radiology, Nuclear Medicine and Imaging, and Pulmonary and Respiratory Medicine.

The scientist's work covers a range of topics, notably Natural Language Processing Techniques, Topic Modeling, Speech Recognition and Synthesis, Adversarial Robustness in Machine Learning, Multimodal Machine Learning Applications, Anomaly Detection Techniques and Applications, and Text Readability and Simplification.

Their recent papers include the following:

  • Ensemble Distribution Distillation, 2020, Apollo (University of Cambridge)
  • Detection of Heart Murmurs in Phonocardiograms with Parallel Hidden Semi-Markov Models, 2022, Computing in cardiology
  • SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models, 2023, arXiv (Cornell University)
  • Uncertainty Estimation in Autoregressive Structured Prediction, 2020, arXiv (Cornell University)
  • Regression Prior Networks, 2020, arXiv (Cornell University)

Frequent coauthors of Mark J. F. Gales include:

  • Vatsal Raina
  • Kate Knill
  • Andrey Malinin
  • Mengjie Qian
  • Potsawee Manakul

Publication venues where they have contributed most frequently are:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Apollo (University of Cambridge)
  • Computing in cardiology
  • Findings of the Association for Computational Linguistics: ACL 2022

Best Publications

  • Maximum likelihood linear transformations for HMM-based speech recognition

    M.J.F. Gales

  • Application of Hidden Markov Models in Speech Recognition

    Mark Gales;Steve Young

  • Semi-tied covariance matrices for hidden Markov models

    M.J.F. Gales

  • Robust continuous speech recognition using parallel model combination

    M.J.F. Gales;S.J. Young

  • Mean and variance adaptation within the MLLR framework

    Mark J. F. Gales;Philip C. Woodland

  • Predictive uncertainty estimation via prior networks

    Andrey Malinin;Mark Gales

  • An improved approach to the hidden Markov model decomposition of speech and noise

    M.J.F. Gales;S. Young

  • Cluster adaptive training of hidden Markov models

    Unknown

  • Cepstral parameter compensation for HMM recognition in noise

    M. J. F. Gales;S. J. Young

  • Speech Recognition using SVMs

    N. Smith;Mark Gales

  • Robust speech recognition in additive and convolutional noise using parallel model combination

    Mark J. F. Gales;Steve J. Young

  • HMM recognition in noise using parallel model combination.

    M. J. F. Gales;Steve J. Young

  • The MGB challenge: Evaluating multi-genre broadcast media recognition

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

  • Data augmentation for low resource languages

    Anton Ragni;Kate M. Knill;Shakti P. Rath;Mark J. F. Gales

  • Ensemble Distribution Distillation

    Andrey Malinin;Bruno Mlodozeniec;Mark Gales

  • SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

    Unknown

  • Speech recognition and keyword spotting for low-resource languages : Babel project research at CUED

    Mark J. F. Gales;Kate M. Knill;Anton Ragni;Shakti P. Rath

  • Consensus Network Decoding for Statistical Machine Translation System Combination

    K. C. Sim;W. J. Byrne;M. J. F. Gales;H. Sahbi

  • The Cambridge University March 2005 speaker diarisation system.

    Rohit Sinha;S. E. Tranter;M. J. F. Gales;Philip C. Woodland

  • Lightly supervised recognition for automatic alignment of large coherent speech recordings.

    Norbert Braunschweiler;Mark J. F. Gales;Sabine Buchholz

  • Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness

    Andrey Malinin;Mark J. F. Gales

  • Fundamental Technologies in Modern Speech Recognition

    Sadaoki Furui;Li Deng;Mark Gales;Hermann Ney

  • Uncertainty Estimation in Autoregressive Structured Prediction

    Andrey Malinin;Mark Gales

Frequent Co-Authors

Philip C. Woodland
Philip C. Woodland University of Cambridge
Steve Young
Steve Young University of Cambridge
Kai Yu
Kai Yu Shanghai Jiao Tong University
Yanmin Qian
Yanmin Qian Shanghai Jiao Tong University
Heiga Zen
Heiga Zen Google (United States)
Thomas Hain
Thomas Hain University of Sheffield
Keiichi Tokuda
Keiichi Tokuda Nagoya Institute of Technology
Steve Renals
Steve Renals University of Edinburgh
Ralf Schlüter
Ralf Schlüter RWTH Aachen University
Bhuvana Ramabhadran
Bhuvana Ramabhadran Google (United States)

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