Informed Source Separation from compressed mixtures using spatial wiener filter and quantization noise estimation
Shuhua Zhang, Laurent Girin, Antoine Liutkus · 2013
In a previous work, we proposed an Informed Source Separation system based on Wiener filtering for active listening of music from uncompressed (16-bit PCM) multichannel mix signals. In the present work, the system is improved to work with (MPEG-2 AAC) compressed mix signals: quantization noise is estimated from the AAC bitstream at the decoder and explicitly taken into account in the source separation process. Also a direct MDCT-to-STFT transform is used to optimize the computational efficiency of the process in the STFT domain from AAC-decoded MDCT coefficients.