Title :
Single-Channel Audio Sources Separation via Optimum Mask Filter
Author :
Fallah, Mahdi ; Asgari, Meysam
Author_Institution :
Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran
Abstract :
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 based approaches, introducing a new mask filter for DFT mixtures, in this paper a VQ-based single channel audio separation approach is proposed. Compared with previously proposed methods including MIXMAX mask filter it is demonstrated that proposed mask filter improves separation performance in terms of SNR and MOS criterion. It is observed that the experimental results agree with the given mathematical.
Keywords :
audio signal processing; filtering theory; source separation; DFT mixtures; GMM based approach; MIXMAX mask filter; VQ-based single channel audio separation; audio mixture; optimum mask filter; separation performance; single-channel audio sources separation; Computational modeling; Computer simulation; Discrete Fourier transforms; Electronic mail; Filters; Fourier transforms; Frequency; Stochastic processes;
Conference_Titel :
Computer Modelling and Simulation, 2009. UKSIM '09. 11th International Conference on
Conference_Location :
Cambridge
Print_ISBN :
978-1-4244-3771-9
Electronic_ISBN :
978-0-7695-3593-7
DOI :
10.1109/UKSIM.2009.124