Custom sized non-negative matrix factor deconvolution for sound source separation

Non-negative Matrix Factorization (NMF) is frequently used for audio source separation. One downside of the NMF is, that it is not able to capture temporal structure of sound events. NMF splits these events into different components. In this paper we present an extension to NMF, which is capable of representing sound events with temporal structure in only one component. We also present an algorithm, which uses this method efficiently. We show that this algorithm leads to a more compact factorization (i.e. with less components) compared to NMF, without losing separation quality.