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

Author

Shuhua Zhang ; Girin, Laurent ; Liutkus, Antoine

Author_Institution

GIPSA-Lab., Grenoble-INP, Grenoble, France

fYear

2013

Firstpage

61

Lastpage

65

Abstract

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.

Keywords

Wiener filters; source separation; video coding; AAC bitstream; AAC decoded MDCT coefficients; MPEG-2 AAC compressed mix signals; STFT domain; Wiener filtering; compressed mixtures; computational efficiency; decoder; informed source separation system; music; quantization noise estimation; source separation process; spatial Wiener filter; uncompressed multichannel mix signals; Bit rate; Decoding; Encoding; Estimation; Noise; Noise reduction; Quantization (signal); AAC; Denoising; Informed Source Separation; NTF; Wiener Filter;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Vancouver, BC

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2013.6637609

Filename

6637609