Mike Brookes

Mike Brookes

Imperial College London

H-index: 28

Europe-United Kingdom

About Mike Brookes

Mike Brookes, With an exceptional h-index of 28 and a recent h-index of 17 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Speech Processing, Computer Vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

Speech Enhancement in Hearing Aids Using Target Speech Presence Estimation Based on a Delayed Remote Microphone Signal

Binaural Speech Enhancement Using Deep Complex Convolutional Transformer Networks

Binaural Speech Enhancement Using Complex Convolutional Recurrent Networks

Using a single-channel reference with the MBSTOI binaural intelligibility metric

The Neural-SRP method for positional sound source localization

Speech enhancement using binary estimator selection applied to hearing aids with a remote microphone

The MBSTOI Binaural Intelligibility Metric Using a Close-Talking Microphone Reference

Graph neural networks for sound source localization on distributed microphone networks

Mike Brookes Information

University

Position

Reader in Signal Processing

Citations(all)

4038

Citations(since 2020)

1303

Cited By

3279

hIndex(all)

28

hIndex(since 2020)

17

i10Index(all)

68

i10Index(since 2020)

34

Email

University Profile Page

Imperial College London

Google Scholar

View Google Scholar Profile

Mike Brookes Skills & Research Interests

Speech Processing

Computer Vision

Top articles of Mike Brookes

Title

Journal

Author(s)

Publication Date

Speech Enhancement in Hearing Aids Using Target Speech Presence Estimation Based on a Delayed Remote Microphone Signal

Vasudha Sathyapriyan

Michael Syskind Pedersen

Mike Brookes

Jan Østergaard

Patrick A Naylor

...

2024/4/14

Binaural Speech Enhancement Using Deep Complex Convolutional Transformer Networks

Vikas Tokala

Eric Grinstein

Mike Brookes

Simon Doclo

Jesper Jensen

...

2024/4/14

Binaural Speech Enhancement Using Complex Convolutional Recurrent Networks

Vikas Tokala

Eric Grinstein

Mike Brookes

Simon Doclo

Jesper Jensen

...

2023/10/29

Using a single-channel reference with the MBSTOI binaural intelligibility metric

Speech Communication

Pierre Guiraud

Alastair H Moore

Rebecca R Vos

Patrick A Naylor

Mike Brookes

2023/4/1

The Neural-SRP method for positional sound source localization

Eric Grinstein

Toon Van Waterschoot

Mike Brookes

Patrick A Naylor

2023/10/29

Speech enhancement using binary estimator selection applied to hearing aids with a remote microphone

Vasudha Sathyapriyan

Michael Syskind Pedersen

Mike Brookes

Jan Ostergaard

Patrick A Naylor

...

2023/10/23

The MBSTOI Binaural Intelligibility Metric Using a Close-Talking Microphone Reference

Pierre Guiraud

Alastair H Moore

Rebecca R Vos

Patrick A Naylor

Mike Brookes

2023/6/4

Graph neural networks for sound source localization on distributed microphone networks

Eric Grinstein

Mike Brookes

Patrick A Naylor

2023/6/4

The Neural-SRP method for universal robust multi-source tracking

IEEE Open Journal of Signal Processing

Eric Grinstein

Christopher M Hicks

Toon van Waterschoot

Mike Brookes

Patrick A Naylor

2023/12/6

Measuring audio-visual speech intelligibility under dynamic listening conditions using virtual reality

Alastair H Moore

Tim Green

Mike Brookes

Patrick A Naylor

2022

Speech recognition with a hearing-aid processing scheme combining beamforming with mask-informed speech enhancement

Tim Green

Gaston Hilkhuysen

Mark Huckvale

Stuart Rosen

Mike Brookes

...

2022/1

A linear MMSE filter using delayed remote microphone signals for speech enhancement in hearing aid applications

Vasudha Sathyapriyan

Michael S Pedersen

Jan Østergaard

Mike Brookes

Patrick A Naylor

...

2022/9/5

Machine learning for parameter estimation in the mbstoi binaural intelligibility metric

Pierre Guiraud

Alastair H Moore

Rebecca R Vos

Patrick A Naylor

Mike Brookes

2022/9/5

Binaural Speech Enhancement Using STOI-optimal Masks

Vikas Tokala

Mike Brookes

Patrick A Naylor

2022/9/5

A compact noise covariance matrix model for MVDR beamforming

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Alastair H Moore

Sina Hafezi

Rebecca R Vos

Patrick A Naylor

Mike Brookes

2022/6/7

Processing pipelines for efficient, physically-accurate simulation of microphone array signals in dynamic sound scenes

Alastair H Moore

Rebecca R Vos

Patrick A Naylor

Mike Brookes

2021/6/6

A binaural MVDR beamformer for the 2021 Clarity Enhancement Challenge: ELO-SPHERES consortium system description

Proc. Clarity Workshop on Machine Learning Challenges for Hearing Aids

Alastair H Moore

Sina Hafezi

Rebecca Vos

Mike Brookes

Patrick A Naylor

...

2021

ELO-SPHERES consortium system description

Proc. of Clarity

Alastair H Moore

Sina Hafezi

Rebecca Vos

Mike Brookes

Patrick A Naylor

...

2021

Speech enhancement based on modulation-domain parametric multichannel Kalman filtering

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Wei Xue

Alastair H Moore

Mike Brookes

Patrick A Naylor

2020/11/27

See List of Professors in Mike Brookes University(Imperial College London)

Co-Authors

H-index: 47
Patrick A. Naylor

Patrick A. Naylor

Imperial College London

H-index: 44
Søren Holdt Jensen

Søren Holdt Jensen

Aalborg Universitet

H-index: 41
Pier Luigi Dragotti

Pier Luigi Dragotti

Imperial College London

H-index: 30
Christos Bouganis

Christos Bouganis

Imperial College London

H-index: 23
Mark Huckvale

Mark Huckvale

University College London

H-index: 21
Yu Wang

Yu Wang

Shanghai Jiao Tong University

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