D. Ellwart and A. Czyzewski, “Corrupted Speech Intelligibility Improvement Using Adaptive Filter-Based Algorithm,” in Proc. AES Conference: 39th International Conference: Audio Forensics: Practices and Challenges, Jun. 2010, Paper 3-1. [Online]. Available: https://aes.org/publications/elibrary-page/?id=15490
Ellwart D, Czyzewski A. Corrupted Speech Intelligibility Improvement Using Adaptive Filter-Based Algorithm. In: AES Conference: 39th International Conference: Audio Forensics: Practices and Challenges. Audio Engineering Society; 2010. Paper 3-1. Available from: https://aes.org/publications/elibrary-page/?id=15490
@inproceedings{Ellwart2010_15490,
author = {Ellwart, Damian and Czyzewski, Andrzej},
title = {{Corrupted Speech Intelligibility Improvement Using Adaptive Filter-Based Algorithm}},
booktitle = {AES Conference: 39th International Conference: Audio Forensics: Practices and Challenges},
note = {Paper 3-1},
year = {2010},
month = jun,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=15490}
}
TY - CPAPER
TI - Corrupted Speech Intelligibility Improvement Using Adaptive Filter-Based Algorithm
AU - Ellwart, Damian
AU - Czyzewski, Andrzej
T2 - AES Conference: 39th International Conference: Audio Forensics: Practices and Challenges
M1 - Paper 3-1
PY - 2010
DA - 2010/06/06
UR - https://aes.org/publications/elibrary-page/?id=15490
PB - Audio Engineering Society
LA - en
AB - A technique for improving the quality of speech signals recorded in strong noise is presented. The proposed algorithm employing adaptive filtration is described and additional possibilities of speech intelligibility improvement are discussed. Results of the tests are presented. The research is subsidized by the Polish Ministry of Science and Higher Education within Grant No. R00-O0005/3.
ER -