Robust Noise Reduction Based on Stochastic Spatial Features

Mizumachi M. Robust Noise Reduction Based on Stochastic Spatial Features. In: AES Convention 126. Audio Engineering Society; 2009. Paper 7709. Available from: https://aes.org/publications/elibrary-page/?id=14905

@inproceedings{Mizumachi2009_14905,
  author = {Mizumachi, Mitsunori},
  title = {{Robust Noise Reduction Based on Stochastic Spatial Features}},
  booktitle = {AES Convention 126},
  note = {Paper 7709},
  year = {2009},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=14905}
}

TY  - CPAPER
TI  - Robust Noise Reduction Based on Stochastic Spatial Features
AU  - Mizumachi, Mitsunori
T2  - AES Convention 126
M1  - Paper 7709
PY  - 2009
DA  - 2009/05/06
UR  - https://aes.org/publications/elibrary-page/?id=14905
PB  - Audio Engineering Society
LA  - en
AB  - This paper proposes a robust noise reduction method relying on stochastic spatial features. Almost all of noise reduction methods have both strong and weak sides in the real world. In this paper, time evolution of direction of arrival (DOA) and its stochastic reliability are the clues for selecting a suitable approach of noise reduction under time-variant noisy environments, where a DOA is an important spatial feature in beamforming for noise reduction. On the other hand, single channel approaches for noise reduction may be reasonable when DOA estimates are not reliable. Then, either spectral subtraction or beamforming is selected out for achieving robust noise reduction depending on a DOA estimate and its reliability. The proposed method had an advantage in noise reduction compared with a conventional approach.
ER  -