Audio Enancement using Nonlinear Time-Frequency Filtering

Maher RC. Audio Enancement using Nonlinear Time-Frequency Filtering. In: AES Conference: 26th International Conference: Audio Forensics in the Digital Age. Audio Engineering Society; 2005. Paper 4-2. Available from: https://aes.org/publications/elibrary-page/?id=13241

@inproceedings{Maher2005_13241,
  author = {Maher, Robert C.},
  title = {{Audio Enancement using Nonlinear Time-Frequency Filtering}},
  booktitle = {AES Conference: 26th International Conference: Audio Forensics in the Digital Age},
  note = {Paper 4-2},
  year = {2005},
  month = jul,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13241}
}

TY  - CPAPER
TI  - Audio Enancement using Nonlinear Time-Frequency Filtering
AU  - Maher, Robert C.
T2  - AES Conference: 26th International Conference: Audio Forensics in the Digital Age
M1  - Paper 4-2
PY  - 2005
DA  - 2005/07/06
UR  - https://aes.org/publications/elibrary-page/?id=13241
PB  - Audio Engineering Society
LA  - en
AB  - Forensic audio recordings may contain undesired noise that can impair source identification, speech recognition, and other audio processing requirements. In this paper several custom analysis/synthesis algorithms are presented based on a time-varying spectral representation of the noisy signal. The enhancement process adapts to the instantaneous signal behavior and alters the noisy signal so that the enhanced output signal is higher in quality than the unprocessed noisy input signal. Nonlinear and time-varying filters operate on the spectral representation in order to retain features that are attributable to the desired signal, such as human speech, while removing the features that are more likely to be due to the noise contamination.
ER  -