Browsing Centre for Digital Music (C4DM) by Issue Date

On polar polytopes and the recovery of sparse representations

Plumbley, MD (2007-09)

Theorems on positive data: on the uniqueness of NMF.

Laurberg, H; Christensen, MG; Plumbley, MD; Hansen, LK; Jensen, SH (2008)

We investigate the conditions for which nonnegative matrix factorization (NMF) is unique and introduce several theorems which can determine whether the decomposition is in fact unique or not. The theorems are illustrated ...

An adaptive stereo basis method for convolutive blind audio source separation

Jafari, MG; Vincent, E; Abdallah, SA; Plumbley, MD; Davies, ME (2008-06)

Efficient Bayesian inference for harmonic models via adaptive posterior factorization

Vincent, E; Plumbley, MD (2008-12)

Information dynamics: patterns of expectation and surprise in the perception of music

Abdallah, S; Plumbley, M (2009)

Fast Multidimensional Entropy Estimation by k-d Partitioning

Stowell, D; Plumbley, MD (2009-06)

Evaluation of live human-computer music-making: Quantitative and qualitative approaches

Stowell, D; Robertson, A; Bryan-Kinns, N; Plumbley, MD (2009-11)

Analysis, Visualization, and Transformation of Audio Signals Using Dictionary-based Methods

Sturm, BL; Roads, C; McLeran, A; Shynk, JJ (Taylor & Francis (Routledge): SSH Titles, 2009-12-17)

Delayed Decision-making in Real-time Beatbox Percussion Classification

Stowell, D; Plumbley, MD (2010)

Sparse Representations in Audio and Music: From Coding to Source Separation

Plumbley, MD; Blumensath, T; Daudet, L; Gribonval, R; Davies, ME (2010-06)

A constrained matching pursuit approach to audio declipping

Adler, A; Emiya, V; Jafari, MG; Elad, M; Gribonval, R; Plumbley, MD (2011)

Learning timbre analogies from unlabelled data by multivariate tree regression

Stowell, D; Plumbley, MD (2011)

Sound Source Separation

Evangelista, G; Marchand, S; Plumbley, MD; Vincent, E (John Wiley & Sons, 2011)

Dictionary learning of convolved signals

Barchiesi, D; Plumbley, MD (2011)

Measuring the Performance of Beat Tracking Algorithms Using a Beat Error Histogram

Davies, MEP; Degara, N; Plumbley, MD (2011-03)

Fast Dictionary Learning for Sparse Representations of Speech Signals

Jafari, MG; Plumbley, MD (2011-09)

Onset Event Decoding Exploiting the Rhythmic Structure of Polyphonic Music

Degara, N; Davies, MEP; Pena, A; Plumbley, MD (2011-10)

INK-SVD: Learning incoherent dictionaries for sparse representations

Mailhe, B; Barchiesi, D; Plumbley, MD; IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012) (IEEE, 2012)

This work considers the problem of learning an incoherent dictionary that is both adapted to a set of training data and incoherent so that existing sparse approximation algorithms can recover the sparsest representation. ...

Structured sparsity for automatic music transcription

O'Hanlon, K; Nagano, H; Plumbley, MD; International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012) (2012)

Analysis-based sparse reconstruction with synthesis-based solvers

Cleju, N; Jafari, MG; Plumbley, MD; IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012) (2012)

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