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D-Index & Metrics

Computer Science

D-Index
40
Citations
8363
World Ranking
9184
National Ranking
567

Research.com Recognitions

  • 2020 - IEEE Fellow For contributions to signal processing for speech dereverberation and analysis

Overview

Patrick A. Naylor is a researcher affiliated with Imperial College London in the United Kingdom. Their research primarily focuses on the fields of Computer Science and Engineering, with particular expertise in Signal Processing and related subfields such as Artificial Intelligence, Computational Mechanics, Biomedical Engineering, and Cognitive Neuroscience.

The scientist's scholarly output extensively covers Speech and Audio Processing, Speech Recognition and Synthesis, Advanced Adaptive Filtering Techniques, as well as Music and Audio Processing. Other notable topics include Hearing Loss and Rehabilitation, Indoor and Outdoor Localization Technologies, and Acoustic Wave Phenomena Research.

Throughout their career, Patrick A. Naylor has contributed to several publication venues, prominently including:

  • arXiv (Cornell University)
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • IEEE Signal Processing Magazine
  • 2022 30th European Signal Processing Conference (EUSIPCO)
  • EURASIP Journal on Audio Speech and Music Processing

Some of the recent papers associated with this researcher are:

  • Polynomial Eigenvalue Decomposition for Multichannel Broadband Signal Processing: A mathematical technique offering new insights and solutions, 2023, IEEE Signal Processing Magazine
  • Audio Signal Processing in the 21st Century: The important outcomes of the past 25 years, 2023, IEEE Signal Processing Magazine
  • Enhancement of Noisy Reverberant Speech Using Polynomial Matrix Eigenvalue Decomposition, 2021, IEEE/ACM Transactions on Audio Speech and Language Processing
  • Speech recognition with a hearing-aid processing scheme combining beamforming with mask-informed speech enhancement, 2022, Trends in Hearing
  • Time-frequency analysis and parameterisation of knee sounds for non-invasive setection of osteoarthritis, 2020, Spiral (Imperial College London)

The researcher has collaborated frequently with a core group of coauthors including Mike Brookes, Alastair H. Moore, Vincent W. Neo, Christine Evers, and Eric Grinstein.

In 2020, Patrick A. Naylor was awarded the IEEE Fellow distinction for contributions to signal processing for speech dereverberation and analysis.

Best Publications

  • Speech Dereverberation

    Patrick A. Naylor;Nikolay D. Gaubitch

  • Speech Dereverberation

    Unknown

  • Estimation of Glottal Closure Instants in Voiced Speech Using the DYPSA Algorithm

    P.A. Naylor;A. Kounoudes;J. Gudnason;M. Brookes

  • Detection of Glottal Closure Instants From Speech Signals: A Quantitative Review

    T. Drugman;M. Thomas;J. Gudnason;P. Naylor

  • Estimation of Room Acoustic Parameters: The ACE Challenge

    James Eaton;Nikolay D. Gaubitch;Alastair H. Moore;Patrick A. Naylor

  • EVALUATION OF SPEECH DEREVERBERATION ALGORITHMS USING THE MARDY DATABASE

    Nikolay D. Gaubitch;Tony Myatt;Patrick A. Naylor

  • Inference of Room Geometry From Acoustic Impulse Responses

    F. Antonacci;J. Filos;M. R. P. Thomas;E. A. P. Habets

  • Theory and Applications of Spherical Microphone Array Processing

    Daniel P. Jarrett;Emanuël A.P. Habets;Patrick A. Naylor

  • Estimation of Glottal Closing and Opening Instants in Voiced Speech Using the YAGA Algorithm

    M. R. P. Thomas;J. Gudnason;P. A. Naylor

  • Rigid sphere room impulse response simulation: algorithm and applications.

    D. P. Jarrett;E. A. P. Habets;M. R. P. Thomas;P. A. Naylor

  • The LOCATA Challenge: Acoustic Source Localization and Tracking

    Christine Evers;Heinrich W. Lollmann;Heinrich Mellmann;Alexander Schmidt

  • Blind estimation of reverberation time based on the distribution of signal decay rates

    J.Y.C. Wen;E.A.P. Habets;P.A. Naylor

  • Adaptive algorithms for sparse echo cancellation

    Patrick A. Naylor;Jingjing Cui;Mike Brookes

  • The LOCATA Challenge Data Corpus for Acoustic Source Localization and Tracking

    Heinrich W. Lollmann;Christine Evers;Alexander Schmidt;Heinrich Mellmann

  • The LOCATA Challenge: Acoustic Source Localization and Tracking.

    Christine Evers;Heinrich Loellmann;Heinrich Mellmann;Alexander Schmidt

  • The ACE challenge — Corpus description and performance evaluation

    J. Eaton;N. D. Gaubitch;A. H. Moore;P. A. Naylor

  • A Class of Sparseness-Controlled Algorithms for Echo Cancellation

    P. Loganathan;A.W.H. Khong;P.A. Naylor

  • 3D source localization in the spherical harmonic domain using a pseudointensity vector

    Daniel P. Jarrett;Emanuel A. P. Habets;Patrick A. Naylor

  • The DYPSA algorithm for estimation of glottal closure instants in voiced speech

    Anastasis Kounoudes;Patrick A. Naylor;Mike Brookes

  • Acoustic SLAM

    Christine Evers;Patrick A. Naylor

  • The SIGMA Algorithm: A Glottal Activity Detector for Electroglottographic Signals

    M.R.P. Thomas;P.A. Naylor

  • Efficient Use Of Sparse Adaptive Filters

    A.W.H. Khong;P.A. Naylor

Frequent Co-Authors

Emanuel A. P. Habets
Emanuel A. P. Habets University of Erlangen-Nuremberg
Søren Holdt Jensen
Søren Holdt Jensen University of Extremadura
Simon Doclo
Simon Doclo Carl von Ossietzky University of Oldenburg
Walter Kellermann
Walter Kellermann University of Erlangen-Nuremberg
Jacob Benesty
Jacob Benesty Institut National de la Recherche Scientifique
Sharon Gannot
Sharon Gannot Bar-Ilan University
Marc Moonen
Marc Moonen KU Leuven
Augusto Sarti
Augusto Sarti Polytechnic University of Milan
Jonathon A. Chambers
Jonathon A. Chambers Harbin Engineering University
Peter Vary
Peter Vary RWTH Aachen University

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