Semi-blind disjoint non-negative matrix factorization for extracting target source from single channel noisy mixture

We present a semi-blind non-negative matrix factorization(NMF) approach to suppress interference noise signals from a single channel mixture signal. By enforcing a disjointness constraint into the NMF error criterion under the semi-blind denoising framework, it is possible to decompose the mixture spectrogram into target and noise components by minimizing overlaps in the time-frequency domain. Experimental results show that the proposed semi-blind disjoint NMF algorithm can significantly suppress non-stationary noise components in the noisy mixture.