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http://dx.doi.org/10.5909/JBE.2012.17.6.924

Efficient Primary-Ambient Decomposition Algorithm for Audio Upmix  

Baek, Yong-Hyun (Computer Science. Dep., Yonsei Univ.)
Jeon, Se-Woon (Electrical & Electronic Eng., Yonsei Univ.)
Lee, Seok-Pil (Sangmyung Univ.)
Park, Young-Cheol (Computer Science. Dep., Yonsei Univ.)
Publication Information
Journal of Broadcast Engineering / v.17, no.6, 2012 , pp. 924-932 More about this Journal
Abstract
Decomposition of a stereo signal into the primary and ambient components is a key step to the stereo upmix and it is often based on the principal component analysis (PCA). However, major shortcoming of the PCA-based method is that accuracy of the decomposed components is dependent on both the primary-to-ambient power ratio (PAR) and the panning angle. Previously, a modified PCA was suggested to solve the PAR-dependent problem. However, its performance is still dependent on the panning angle of the primary signal. In this paper, we proposed a new PCA-based primary-ambient decomposition algorithm whose performance is not affected by the PAR as well as the panning angle. The proposed algorithm finds scale factors based on a criterion that is set to preserve the powers of the mixed components, so that the original primary and ambient powers are correctly retrieved. Simulation results are presented to show the effectiveness of the proposed algorithm.
Keywords
PCA; Panning Angle; Correlation; Eigen Value Ratio;
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