Photo of Mark Plumbley Prof Mark Plumbley

I have moved:

Prof Mark Plumbley
Professor of Signal Processing
Centre for Vision, Speech and Signal Processing (CVSSP)
Faculty of Engineering and Physical Sciences
University of Surrey
Surrey, GU2 7XH

Follow markplumbley on Twitter
News & Events

Marie Curie Early Stage Researchers in
Sparse Methods for Audio Source Separation and
Automatic Music Transcription
(Deadline 25 January 2015)

[Earlier News & Events]

Current Research Staff & Students

Chris Baume RS: Semantic Audio Production Tools
Dr Gerard Briscoe RA: Creativeworks London AHRC Knowledge Exchange Hub
Chris Cannam RA: SoundSoftware: Sustainable Software for Audio & Music Research
Henrik Ekeus RS: Models of perception and cognition in the artistic design process.
Peter Foster RA: Audio Data Exploration
Shengchen Li RS: Analysis of musical expression
Siddharth Sigtia RA: Advanced Smart Microphone
Andy Simpson RA: Musical Audio Repurposing using Source Separation
Dr Adam Stark RA: Advanced Smart Microphone

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 and Information and Neural Dynamics of Music (IDyOM-2)
Constantin Barabasa Assoc RS: Sparse representations
Daniele Barchiesi RS: Audio source separation using sparse representations
Marco Bevilacqua Assoc RS: Sparse Representations and Compressive Sensing
Dr Paul Brossier RS: Real-Time Object-Based Coding
Nicolae Cleju Assoc RS: Sparse representations
Dr Ivan Damnjanovic RA: Sparse Models, Algorithms, and Learning for Large-scale data (SMALL) /
Dr Matthew Davies RA: Sparse Models, Algorithms, and Learning for Large-scale data (SMALL)
Luís Figueira RA: SoundSoftware: Sustainable Software for Audio & Music Research
Hiromasa Fujihara Visitor
Dimitris Giannoulis RS: Recognition of sound sources in music and environmental audio
Aris Gretsistas RS: Compressed Sensing of Audio Scenes
Ken O'Hanlon RS: Spare representations of audio signals
Fabio Hedayioglu Assoc RS: Heart sound separation
Jason Hockman Assoc RS: Audio Rhythm Analsys
Dr Maria Jafari RA: Advanced Subband Systems for Audio Source Separation and RA: SMALL
Dr Ian Johnson RS: Regular language processing using neural networks
Hassan Khalil RS: Audio source separation
Jens Klingseisen Assoc RS: Music analysis using Multiple-Cause Models
Boris Mailhe RA: Machine Listening using Sparse Representations
Brandon Mechtley RA: Visualization of sound archives
Antoine Movschin Assoc RS: Artist identification
Tim Murray Browne RS/RA: Automated composition
Hidehisa Nagano Visitor
Dr Andrew Nesbit RA: Sound Source Separation for Music Remixing and RA: Machine Listening using Sparse Representations
Dr Andrew Robertson RS: Interactive Real-time Musical Systems; RAEng/EPSRC Fellow: Intelligent Interactive Musical Performance Systems
Adam Stark RS: Musical Audio Analysis for Real-Time Interaction
Dr Dan Stowell RS: Real-Time Analysis of Voice for Musical Applications, RA: Acoustic scene analysis
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


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, a website to help students find funding for Masters and PhD study.