World's Best Scientists 2026 revealed!
Martin Cooke

Martin Cooke

Award Badge
Computer Science
Spain
2025

D-Index & Metrics

Computer Science

D-Index
42
Citations
11036
World Ranking
8209
National Ranking
112

Research.com Recognitions

  • 2025 - Research.com Computer Science in Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award

Overview

Martin Cooke is a researcher affiliated with Ikerbasque in Spain, specializing in fields related to neuroscience, cognitive neuroscience, and experimental and cognitive psychology. Their work also encompasses signal processing, speech and hearing, and artificial intelligence within a broad spectrum of research domains.

The scientist's primary research topics focus on hearing loss and rehabilitation, phonetics and phonology research, speech and audio processing, noise effects and management, linguistic variation and morphology, neuroscience and music perception, as well as natural language processing techniques.

Martin Cooke has contributed to notable scientific journals, with frequent publications appearing in:

  • The Journal of the Acoustical Society of America
  • Zenodo (CERN European Organization for Nuclear Research)
  • Speech Communication
  • Cortex
  • Frontiers in Neuroscience

A selection of recent papers includes:

  • The time course of adaptation to distorted speech (2022), The Journal of the Acoustical Society of America
  • How reliable are online speech intelligibility studies with known listener cohorts? (2021), The Journal of the Acoustical Society of America

Frequent coauthors collaborating with Martin Cooke are:

  • María Luisa García Lecumberri
  • Rubén Pérez-Ramón
  • Olympia Simantiraki
  • Hans Rutger Bosker
  • Odette Scharenborg

The research includes investigations on adaptation to distorted speech, speech intelligibility in online studies, and aspects related to amplitude modulations aiding speech intelligibility under various conditions. The scientist's work supports understanding how hearing loss and speech processing operate in challenging auditory environments by combining insights from psychology, neuroscience, and signal processing.

Best Publications

  • An audio-visual corpus for speech perception and automatic speech recognition

    Martin Cooke;Jon Barker;Stuart Cunningham;Xu Shao

  • A glimpsing model of speech perception in noise.

    Martin Cooke

  • Robust automatic speech recognition with missing and unreliable acoustic data

    Martin Cooke;Phil Green;Ljubomir Josifovski;Ascension Vizinho

  • Computational auditory scene analysis

    Guy J. Brown;Martin Cooke

  • Modelling Auditory Processing and Organisation

    Martin Cooke

  • Non-native speech perception in adverse conditions: A review

    Maria Luisa Garcia Lecumberri;Martin Cooke;Anne Cutler

  • The foreign language cocktail party problem: Energetic and informational masking effects in non-native speech perception

    Martin Cooke;M. L. Garcia Lecumberri;Jon Barker

  • Effect of masker type on native and non-native consonant perception in noise

    M. L. Garcia Lecumberri;Martin Cooke

  • Recognizing speech under a processing load: dissociating energetic from informational factors.

    Sven L. Mattys;Joanna Brooks;Martin Cooke;Martin Cooke

  • Consonant identification in N-talker babble is a nonmonotonic function of N.

    Sarah A. Simpson;Martin Cooke

  • Monaural speech separation and recognition challenge

    Martin Cooke;John R. Hershey;Steven J. Rennie

  • The auditory organization of speech and other sources in listeners and computational models

    Martin Cooke;Daniel P.W. Ellis

  • The contribution of changes in F0 and spectral tilt to increased intelligibility of speech produced in noise

    Youyi Lu;Martin Cooke

  • Speech production modifications produced by competing talkers, babble, and stationary noise.

    Youyi Lu;Martin Cooke

  • DECODING SPEECH IN THE PRESENCE OF OTHER SOURCES

    Jon P. Barker;Martin P. Cooke;Daniel P. W. Ellis

  • Spectral and temporal changes to speech produced in the presence of energetic and informational maskers.

    Martin Cooke;Youyi Lu

  • Soft decisions in missing data techniques for robust automatic speech recognition.

    Jon Barker;Ljubomir Josifovski;Martin Cooke;Phil D. Green

  • Robust ASR Based On Clean Speech Models: An Evaluation of Missing Data Techniques For Connected Digit Recognition in Noise

    Jon Barker;Martin Cooke;Phil D. Green

  • Missing data techniques for robust speech recognition

    M. Cooke;A. Morris;P. Green

  • The listening talker: A review of human and algorithmic context-induced modifications of speech

    Martin Cooke;Martin Cooke;Simon King;Maëva Garnier;Vincent Aubanel;Vincent Aubanel

  • Evaluating the intelligibility benefit of speech modifications in known noise conditions

    Martin Cooke;Catherine Mayo;Cassia Valentini-Botinhao;Yannis Stylianou

  • Some solution to the missing feature problem in data classification, with application to noise robust ASR

    A.C. Morris;M.P. Cooke;P.D. Green

Frequent Co-Authors

Jon Barker
Jon Barker University of Sheffield
Guy J. Brown
Guy J. Brown University of Sheffield
Daniel P. W. Ellis
Daniel P. W. Ellis Google (United States)
Sven L. Mattys
Sven L. Mattys University of York
Yannis Stylianou
Yannis Stylianou University of Crete
Anne Cutler
Anne Cutler Western Sydney University
Peter König
Peter König Osnabrück University
Hervé Bourlard
Hervé Bourlard Idiap Research Institute
Junichi Yamagishi
Junichi Yamagishi National Institute of Informatics
Sophie K. Scott
Sophie K. Scott University College London

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online physics degrees, data science, or electrical engineering can broaden your expertise and open up diverse technology career options. Many students choose cost-effective, accredited programs to build foundational knowledge, often while working or maintaining other responsibilities.

For those keen on data analytics and artificial intelligence, a data scientist degree is in high demand, with many universities in the USA offering affordable and reputable online pathways. Similarly, accredited online electrical engineering programs blend practical and theoretical skills, appealing to those wanting to innovate across hardware and software domains.

For a quicker entry into the tech workforce, some students consider easy certifications to get. These can complement a computer science degree or provide a boost for those changing careers. Carefully researching the delivery, cost, and outcomes of each pathway can help you choose the best match for your goals and interests.

Best Scientists Citing Martin Cooke

Trending Scientists

Recently Published Articles