Title :
Music source separation synthesis using Multiple Input Spectrogram Inversion
Author :
Gunawan, David ; Sen, D.
Author_Institution :
Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia
Abstract :
In this paper, we propose a novel method of refining the time-domain synthesis of individual source estimates from a single channel mixture. Employing a closed-loop architecture, the algorithm refines the synthesis of each source by iteratively estimating the phase of the sources, given the estimates of the source magnitude spectra and a single channel time-domain mixture. The performance of the algorithm is evaluated for harmonic musical mixtures, and considerable improvements to the synthesized estimates are obtained relative to phase binary masking, given accurate source magnitude spectra.
Keywords :
acoustic signal processing; iterative methods; music; source separation; time-domain synthesis; closed-loop architecture; harmonic musical mixtures; multiple input spectrogram inversion; music source separation synthesis; single channel mixture; single channel time-domain mixture; source magnitude spectra; time-domain synthesis; Audio compression; Australia; Fourier transforms; Iterative algorithms; Parameter estimation; Phase estimation; Power harmonic filters; Source separation; Spectrogram; Time domain analysis;
Conference_Titel :
Multimedia Signal Processing, 2009. MMSP '09. IEEE International Workshop on
Conference_Location :
Rio De Janeiro
Print_ISBN :
978-1-4244-4463-2
Electronic_ISBN :
978-1-4244-4464-9
DOI :
10.1109/MMSP.2009.5293319