J. Bitzer and M. Brandt, “Speech Enhancement by Adaptive Noise Cancellation: Problems, Algorithms, and Limits,” in Proc. AES Conference: 39th International Conference: Audio Forensics: Practices and Challenges, Jun. 2010, Paper 3-3. [Online]. Available: https://aes.org/publications/elibrary-page/?id=15500
Bitzer J, Brandt M. Speech Enhancement by Adaptive Noise Cancellation: Problems, Algorithms, and Limits. In: AES Conference: 39th International Conference: Audio Forensics: Practices and Challenges. Audio Engineering Society; 2010. Paper 3-3. Available from: https://aes.org/publications/elibrary-page/?id=15500
@inproceedings{Bitzer2010_15500,
author = {Bitzer, Joerg and Brandt, Matthias},
title = {{Speech Enhancement by Adaptive Noise Cancellation: Problems, Algorithms, and Limits}},
booktitle = {AES Conference: 39th International Conference: Audio Forensics: Practices and Challenges},
note = {Paper 3-3},
year = {2010},
month = jun,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=15500}
}
TY - CPAPER
TI - Speech Enhancement by Adaptive Noise Cancellation: Problems, Algorithms, and Limits
AU - Bitzer, Joerg
AU - Brandt, Matthias
T2 - AES Conference: 39th International Conference: Audio Forensics: Practices and Challenges
M1 - Paper 3-3
PY - 2010
DA - 2010/06/06
UR - https://aes.org/publications/elibrary-page/?id=15500
PB - Audio Engineering Society
LA - en
AB - "In this paper, a summary about adaptive noise reduction techniques for enhancing degraded audio signals in the context of forensic application is given. The surrounding conditions for the use of adaptive systems are examined at first to understand the functionality of the algorithms that are commonly employed. Built on this analyses we will give examples of self-adaptive single-channel solutions, monophonic and stereo noise-cancellers with reference signal and solutions for GSM burst removal. Furthermore, we investigate the weaknesses of the standard approaches and highlight problems that are resulting. Several difficulties generally have to be taken care of in the field of adaptive noise cancellation approaches to those are presented, but also the limits of feasibility."
ER -