Research Paper Review

Paper Title: Single-Channel Audio Sources Separation via Optimum Mask Filter

Authors: Mahdi Fallah, Meysam Asgari

In many single-channel audio separation techniques, expressing a given audio mixture in terms of its underlying signals is often introduced as a challenging topic. Opposed to commonly used GMM(Gaussian Mixture Model) based approaches, introducing a new mask filter for DFT mixtures, in this paper a VQ(vector quantization)-based single channel audio separation approach is proposed. Opposed to commonly used Mixture Maximization (MIXMAX) mask filter based approximation, which was extensively used in single-channel audio separation algorithm, it was demonstrated that the proposed approach outperformed MIXMAX mask filter in terms of SNR results as well as MOS results.