Perceptually Motivated Gain Filter Smoothing for Noise Suppression

Favrot A, Faller C. Perceptually Motivated Gain Filter Smoothing for Noise Suppression. In: AES Convention 123. Audio Engineering Society; 2007. Paper 7169. Available from: https://aes.org/publications/elibrary-page/?id=14227

@inproceedings{Favrot2007_14227,
  author = {Favrot, Alexis and Faller, Christof},
  title = {{Perceptually Motivated Gain Filter Smoothing for Noise Suppression}},
  booktitle = {AES Convention 123},
  note = {Paper 7169},
  year = {2007},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=14227}
}

TY  - CPAPER
TI  - Perceptually Motivated Gain Filter Smoothing for Noise Suppression
AU  - Favrot, Alexis
AU  - Faller, Christof
T2  - AES Convention 123
M1  - Paper 7169
PY  - 2007
DA  - 2007/10/06
UR  - https://aes.org/publications/elibrary-page/?id=14227
PB  - Audio Engineering Society
LA  - en
AB  - Stationary noise suppression is widely used, mostly for reducing noise in speech signals or for audio restoration. Most noise suppression algorithms are based on spectral modification, i.e. a real-valued gain filter is applied to short-time spectra of the speech signal to reduce noise. The more noise is to be removed, the more likely are artifacts due to aliasing effects and time variance of the gain filter. A perceptually motivated systematic time and frequency smoothing of the gain filter is proposed to improve quality, considering the frequency resolution of the auditory system and masking. Comparison with a number of previous methods indicates that the proposed noise suppressor performs as good as the best other method, while computational complexity is much lower.
ER  -