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Informed Source Separation from compressed mixtures using spatial wiener filter and quantization noise estimation

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3 Author(s)
Shuhua Zhang ; GIPSA-Lab., Grenoble-INP, Grenoble, France ; Girin, L. ; Liutkus, A.

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.

Published in:

Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on

Date of Conference:

26-31 May 2013