On the Relation between Data-Dependent Beamforming and Multichannel Linear Prediction for Dereverberation

Dietzen T, Spriet A, Tirry W, Doclo S, Moonen M, van Waterschoot T. On the Relation between Data-Dependent Beamforming and Multichannel Linear Prediction for Dereverberation. In: AES Conference: 60th International Conference: Dereverberation and Reverberation of Audio, Music, and Speech. Audio Engineering Society; 2016. Paper 1-2. Available from: https://aes.org/publications/elibrary-page/?id=18067

@inproceedings{Dietzen2016_18067,
  author = {Dietzen, Thomas and Spriet, Ann and Tirry, Wouter and Doclo, Simon and Moonen, Marc and van Waterschoot, Toon},
  title = {{On the Relation between Data-Dependent Beamforming and Multichannel Linear Prediction for Dereverberation}},
  booktitle = {AES Conference: 60th International Conference: Dereverberation and Reverberation of Audio, Music, and Speech},
  note = {Paper 1-2},
  year = {2016},
  month = jan,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=18067}
}

TY  - CPAPER
TI  - On the Relation between Data-Dependent Beamforming and Multichannel Linear Prediction for Dereverberation
AU  - Dietzen, Thomas
AU  - Spriet, Ann
AU  - Tirry, Wouter
AU  - Doclo, Simon
AU  - Moonen, Marc
AU  - van Waterschoot, Toon
T2  - AES Conference: 60th International Conference: Dereverberation and Reverberation of Audio, Music, and Speech
M1  - Paper 1-2
PY  - 2016
DA  - 2016/01/06
UR  - https://aes.org/publications/elibrary-page/?id=18067
PB  - Audio Engineering Society
LA  - en
AB  - The generalized sidelobe canceler, a data-dependent beamformer that is commonly used in noise suppression, is able to perform dereverberation if the source signal is a random white signal. A similar statement can be made for multichannel linear prediction, which may be used to blindly invert any time-invariant multichannel transmission system that is excited by a random white signal, provided that the transmission channels do not share common zeros. If the source signal is colored on the other hand, as it is the case for speech signals, both the generalized sidelobe canceler and multichannel linear prediction tend to additionally invert the source coloration, and different approaches have been proposed to tackle this problem. In this paper we give an overview on multichannel linear prediction methods and formally analyze the generalized sidelobe canceler for dereverberation, which reveals close relations between the two approaches.
ER  -