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Photo of Mark Plumbley Prof Mark Plumbley

Contact Details

Title: Director of Centre for Digital Music
Professor of Machine Learning and Signal Processing
Tel: National: 020 7882 7518
International: +44 20 7882 7518
Fax:
National: 020 7882 7997
International: +44 20 7882 7997
Email:
mark.plumbley@eecs.qmul.ac.uk
Office: Eng. 111
Research Group: Centre for Digital Music

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News & Events

[Earlier News & Events]

Current Research Staff & Students

Dr Samer Abdallah RA: Information and Neural Dynamics of Music (IDyOM-2)
Constantin Barabasa Assoc RS: Sparse representations
Daniele Barchiesi RS: Audio source separation using sparse representations
Chris Cannam RA: Sustainable Software for Audio & Music Research
Nicolae Cleju Assoc RS: Sparse representations
Henrik Ekeus RS: Models of perception and cognition in the artistic design process.
Luís Figueira RA: Sustainable Software for Audio & Music Research
Hiromasa Fujihara Visitor
Aris Gretsistas RS: Compressed Sensing of Audio Scenes
Fabio Hedayioglu Assoc RS: Heart sound separation
Dr Maria Jafari RA: Advanced Subband Systems for Audio Source Separation and RA: SMALL
Hassan Khalil RS: Audio source separation
Shengchen Li RS: Analysis of musical expression
Boris Mailhe RA: Machine Listening using Sparse Representations
Tim Murray Browne RS: Automated composition
Hidehisa Nagano Visitor
Ken O'Hanlon RS: Audio-visual analysis
Dr Andrew Robertson RAEng/EPSRC Fellow: Intelligent Interactive Musical Performance Systems
Mehdi Shokri Zadeh RS: Real-time audio source separation

Recent Research Staff & Students

Dr Samer Abdallah RS: Towards Music Perception by Redundancy Reduction and Unsupervised Learning in Probabilistic Models, and RA: Information Dynamics of Music
Marco Bevilacqua Assoc RS: Sparse Representations and Compressive Sensing
Dr Paul Brossier RS: Real-Time Object-Based Coding
Dr Ivan Damnjanovic RA: Sparse Models, Algorithms, and Learning for Large-scale data (SMALL) / SoundSoftware.ac.uk
Dr Matthew Davies RA: Sparse Models, Algorithms, and Learning for Large-scale data (SMALL)
Jason Hockman Assoc RS: Audio Rhythm Analsys
Dr Ian Johnson RS: Regular language processing using neural networks
Jens Klingseisen Assoc RS: Music analysis using Multiple-Cause Models
Antoine Movschin Assoc RS: Artist identification
Dr Andrew Nesbit RA: Sound Source Separation for Music Remixing and RA: Machine Listening using Sparse Representations
Andrew Robertson RS: Interactive Real-time Musical Systems
Adam Stark RS: Musical Audio Analysis for Real-Time Interaction
Dan Stowell RS: Real-Time Analysis of Voice for Musical Applications
Keisuke Toyama MSc by Research: Blind Source Separation
Dr Emmanuel Vincent RA: Object-Based Coding of Musical Audio
Dr Beiming Wang RS: Musical Audio Stream Separation
Steve Welburn RS: Sparse Object-Based Coding of Music

Current & Recent Research Funding

Biography

Following my graduation in 1984 (Electrical Sciences Tripos, Churchill College, Cambridge), I joined Thorn-EMI Central Research Laboratories, working on videotape data storage and high-definition TV. In 1987 I returned to Cambridge University Engineering Department as a Research Student under the late Frank Fallside, working on information theory and neural networks, continuing as a Research Associate. In 1991 I joined the Centre for Neural Networks at King's College London, initially in the Department of Mathematics and then Computer Science before moving to Electronic Engineering 1995. I was Joint Coordinator of the the EC-funded NEuroNet Network of Excellence in Neural Networks.

I have been working in source separation and independent component analysis (ICA) for 5 years, following a background in neural networks since 1987, including the particular method of non-negative ICA. I have applied ICA and related models to the analysis of music, including automatic music transcription. In 2002 I joined the new Digital Signal Processing group at Queen Mary, University of London, and later that year visited the ICA group at Helsinki University of Technology on a 3-month Leverhulme Trust Study Abroad Fellowship. Recent EPSRC Funding includes: Automatic Polyphonic Music Transcription Using Multiple Cause Models and Independent Component Analysis (GR/R54620/01); Object-based Coding of Musical Audio (GR/S75802/01); Information Dynamics of Music (GR/S82213/01). I currently coordinate the EPSRC Digital Music Research Network (GR/R64810/01) and the ICA Research Network (EP/C005554/1).

In my spare time I dabble in website construction, including helping out on PostgraduateStudentships.co.uk, a website to help students find funding for Masters and PhD study.

 
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Electronic Engineering, Queen Mary University of London, Mile End Road, London E1 4NS, UK Tel: +44 (0)20 7882 5346, Fax: +44 (0)20 7882 7997