This letter describes algorithms for nonnegative matrix factorization (NMF) with the β-
divergence (β-NMF). The β-divergence is a family of cost functions parameterized by a …

Multiple pitch estimation consists of estimating the fundamental frequencies and saliences of
pitched sounds over short time frames of an audio signal. This task forms the basis of …

A novel approach to solve the single-channel source separation (SCSS) problem is
presented. Most existing supervised SCSS methods resort exclusively to the independence …

Many classes of data are composed as constructive combinations of parts. By constructive
combination, we mean additive combination that does not result in subtraction or …

Recently, shift‐invariant tensor factorisation algorithms have been proposed for the
purposes of sound source separation of pitched musical instruments. However, in practice …

Discovering a representation that allows auditory data to be parsimoniously represented is
useful for many machine learning and signal processing tasks. Such a representation can …

Non-negative Tensor Factorisation based methods have found use in the context of musical
sound source separation. These techniques require the use of a suitable cost function to …

Blind source separation (BSS) is a problem of recovering source signals from signal
mixtures without or very limited information about the sources and the mixing process. From …

Discovering a representation that allows auditory data to be parsimoniously represented is
useful for many machine learning and signal processing tasks. Such a representation can …

We propose a new approach that improves perceptual quality of the separated sources in
blind single-channel musical source separation. It uses the advantages of subspace …