This paper describes several important methods for the blind source separation of audio
signals in an integrated manner. Two historically developed routes are featured. One started …

Speech separation systems usually operate on the short-time Fourier transform (STFT) of
noisy speech, and enhance only the magnitude spectrum while leaving the phase spectrum …

During the past three decades, the issue of processing spectral phase has been largely
neglected in speech applications. There is no doubt that the interest of speech processing …

Most of the currently successful source separation techniques use the magnitude
spectrogram as input, and are therefore by default omitting part of the signal: the phase. To …

This paper presents a new multiplicative algorithm for nonnegative matrix factorization with β-
divergence. The derived update rules have a similar form to those of the conventional …

In this paper, a novel Successive Multivariate Variational Mode Decomposition (SMVMD) is
presented. Different from most existing multichannel signal decomposition approaches, the …

Non-negative matrix factorization (NMF) has been a popular method for modeling audio
signals, in particular for single-channel source separation. An important factor in the success …

The phase response of noisy speech has largely been ignored, but recent research shows
the importance of phase for perceptual speech quality. A few phase enhancement …

Multifocus image fusion aims to merge source images with distinct focused areas into a
single, fully focused fused image. Sparse representation (SR) stands out as a robust signal …

For audio source separation applications, it is common to estimate the magnitude of the
short-time Fourier transform (STFT) of each source. In order to further synthesize time …