Warped DFT Based Perceptual Noise Reduction System

Petrovsky AA, Parfieniuk M, Borowicz A. Warped DFT Based Perceptual Noise Reduction System. In: AES Convention 116. Audio Engineering Society; 2004. Paper 6035. Available from: https://aes.org/publications/elibrary-page/?id=12674

@inproceedings{Petrovsky2004_12674,
  author = {Petrovsky, Alexander A. and Parfieniuk, Marek and Borowicz, Adam},
  title = {{Warped DFT Based Perceptual Noise Reduction System}},
  booktitle = {AES Convention 116},
  note = {Paper 6035},
  year = {2004},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=12674}
}

TY  - CPAPER
TI  - Warped DFT Based Perceptual Noise Reduction System
AU  - Petrovsky, Alexander A.
AU  - Parfieniuk, Marek
AU  - Borowicz, Adam
T2  - AES Convention 116
M1  - Paper 6035
PY  - 2004
DA  - 2004/05/06
UR  - https://aes.org/publications/elibrary-page/?id=12674
PB  - Audio Engineering Society
LA  - en
AB  - This paper considers a novel application of the Warped Discrete Fourier Transform in single channel noise reduction system. Namely, the WDFT is simultaneously the basis for spectral weighting and psychoacoustic model, thus allowing overall system to operate strictly in the critical band domain. The warped transform allows non-uniform allocation of the z transform frequency samples in good accordance with the Bark scale. Thus the psychoacoustic modeling is more accurate than in the DFT-based solutions and the subjective quality of enhanced speech increases. The noise suppression algorithm utilizes the majority of currently most advanced ideas in perceptually motivated spectral weighting. Its especial advantage is in the fact that the masking threshold is directly involved into the weighting rule.
ER  -