New Enhancements to the Automatic Noise Removal (ANR) System Utilizing Improved Noise Statistics and Multi-Band Processing

E.V. H, Ferreira A, Saeed S, Sinha D. New Enhancements to the Automatic Noise Removal (ANR) System Utilizing Improved Noise Statistics and Multi-Band Processing. In: AES Convention 124. Audio Engineering Society; 2008. Paper 7415. Available from: https://aes.org/publications/elibrary-page/?id=14545

@inproceedings{EV2008_14545,
  author = {E.V., Harinarayanan and Ferreira, Anibal and Saeed, Shamail and Sinha, Deepen},
  title = {{New Enhancements to the Automatic Noise Removal (ANR) System Utilizing Improved Noise Statistics and Multi-Band Processing}},
  booktitle = {AES Convention 124},
  note = {Paper 7415},
  year = {2008},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=14545}
}

TY  - CPAPER
TI  - New Enhancements to the Automatic Noise Removal (ANR) System Utilizing Improved Noise Statistics and Multi-Band Processing
AU  - E.V., Harinarayanan
AU  - Ferreira, Anibal
AU  - Saeed, Shamail
AU  - Sinha, Deepen
T2  - AES Convention 124
M1  - Paper 7415
PY  - 2008
DA  - 2008/05/06
UR  - https://aes.org/publications/elibrary-page/?id=14545
PB  - Audio Engineering Society
LA  - en
AB  - We recently introduced a novel Automatic Noise Reduction (ANR) algorithm for the removal of wideband stationary/non-stationary noise from audio [1]. Current noise reduction techniques exhibit certain undesirable characteristics. Distortion and/or alteration of the audio characteristics is a common problem. User intervention in identifying the noise profile is sometimes necessary. ANR uses a novel framework employing dominant component subtraction and restoration and performs better than conventional techniques in subjective tests. Here we describe three enhancements to ANR. The first of these increases the level of noise removal for the special case of stationary background noise. The second is a new tool for improving the temporal envelope coherence and yields additional noise removal. The third is a multi-band processing tool for conditioning time-frequency envelope for reduced listener fatigue.
ER  -