Primary-Ambient Extraction in Audio Signals Using Adaptive Weighting and Principal Component Analysis
Published in The 13th Sound and Music Computing Conference (SMC), 2016
This paper is about separting the primary and ambient sources from a sounds mixture to be used in surround sound upmixing. We propose a PCA-based approach to apply the separation.
Recommended citation:
Ibrahim, K. M. Mahmoud Allam. “Primary-Ambient Extraction in Audio Signals Using Adaptive Weighting and Principal Component Analysis” Proceedings of the 13th Sound and Music Computing Conference (SMC), 2016