Incorporating the Noise Statistics in Acoustic Multichannel Equalization

Kodrasi I, Doclo S. Incorporating the Noise Statistics in Acoustic Multichannel Equalization. In: AES Conference: 60th International Conference: Dereverberation and Reverberation of Audio, Music, and Speech. Audio Engineering Society; 2016. Paper 5-1. Available from: https://aes.org/publications/elibrary-page/?id=18080

@inproceedings{Kodrasi2016_18080,
  author = {Kodrasi, Ina and Doclo, Simon},
  title = {{Incorporating the Noise Statistics in Acoustic Multichannel Equalization}},
  booktitle = {AES Conference: 60th International Conference: Dereverberation and Reverberation of Audio, Music, and Speech},
  note = {Paper 5-1},
  year = {2016},
  month = jan,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=18080}
}

TY  - CPAPER
TI  - Incorporating the Noise Statistics in Acoustic Multichannel Equalization
AU  - Kodrasi, Ina
AU  - Doclo, Simon
T2  - AES Conference: 60th International Conference: Dereverberation and Reverberation of Audio, Music, and Speech
M1  - Paper 5-1
PY  - 2016
DA  - 2016/01/06
UR  - https://aes.org/publications/elibrary-page/?id=18080
PB  - Audio Engineering Society
LA  - en
AB  - Acoustic multi-channel equalization techniques, such as the regularized partial multi-channel equalization technique based on the multiple-input/output inverse theorem (RP-MINT), are able to achieve a high dereverberation performance in the presence of room impulse response perturbations but may lead to additive noise amplification. This paper proposes to directly extend the RP-MINT technique by incorporating the noise statistics in the reshaping filter design, such that joint dereverberation and noise reduction is achieved. In addition to the regularization parameter used in the RP-MINT technique, a weighting parameter is introduced to trade off between dereverberation and noise reduction. To automatically determine the regularization and weighting parameters, a novel non-intrusive procedure based on the L-hypersurface is proposed. Simulation results using instrumental performance measures show that the proposed technique maintains the high dereverberation performance of the RP-MINT technique, while improving the noise reduction performance.
ER  -