Adaptive Noise Reduction for Real-Time Applications

Wiesener C, Flohrer T, Lerch A, Weinzierl S. Adaptive Noise Reduction for Real-Time Applications. In: AES Convention 128. Audio Engineering Society; 2010. Paper 8048. Available from: https://aes.org/publications/elibrary-page/?id=15345

@inproceedings{Wiesener2010_15345,
  author = {Wiesener, Constantin and Flohrer, Tim and Lerch, Alexander and Weinzierl, Stefan},
  title = {{Adaptive Noise Reduction for Real-Time Applications}},
  booktitle = {AES Convention 128},
  note = {Paper 8048},
  year = {2010},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=15345}
}

TY  - CPAPER
TI  - Adaptive Noise Reduction for Real-Time Applications
AU  - Wiesener, Constantin
AU  - Flohrer, Tim
AU  - Lerch, Alexander
AU  - Weinzierl, Stefan
T2  - AES Convention 128
M1  - Paper 8048
PY  - 2010
DA  - 2010/05/06
UR  - https://aes.org/publications/elibrary-page/?id=15345
PB  - Audio Engineering Society
LA  - en
AB  - We present a new algorithm for real-time noise reduction of audio signals. In order to derive the noise reduction function, the proposed method adaptively estimates the instantaneous noise spectrum from an autoregressive signal model as opposed to the widely-used approach of using a constant noise spectrum fingerprint. In conjunction with the Ephraim and Malah suppression rule a significant reduction of both stationary and non-stationary noise can be obtained. The adaptive algorithm is able to work without user interaction and is capable of real-time processing. Furthermore, quality improvements are easily possible by integration of additional processing blocks such as transient preservation.
ER  -