T. Paatero and M. Karjalainen, “New Digital Filter Techniques for Room Response Modeling,” in Proc. AES Conference: 21st International Conference: Architectural Acoustics and Sound Reinforcement, Jun. 2002, Paper 000087. [Online]. Available: https://aes.org/publications/elibrary-page/?id=11204
Paatero T, Karjalainen M. New Digital Filter Techniques for Room Response Modeling. In: AES Conference: 21st International Conference: Architectural Acoustics and Sound Reinforcement. Audio Engineering Society; 2002. Paper 000087. Available from: https://aes.org/publications/elibrary-page/?id=11204
@inproceedings{Paatero2002_11204,
author = {Paatero, Tuomas and Karjalainen, Matti},
title = {{New Digital Filter Techniques for Room Response Modeling}},
booktitle = {AES Conference: 21st International Conference: Architectural Acoustics and Sound Reinforcement},
note = {Paper 000087},
year = {2002},
month = jun,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=11204}
}
TY - CPAPER
TI - New Digital Filter Techniques for Room Response Modeling
AU - Paatero, Tuomas
AU - Karjalainen, Matti
T2 - AES Conference: 21st International Conference: Architectural Acoustics and Sound Reinforcement
M1 - Paper 000087
PY - 2002
DA - 2002/06/06
UR - https://aes.org/publications/elibrary-page/?id=11204
PB - Audio Engineering Society
LA - en
AB - Computationally efficient modeling of room responses is needed in many audio and acoustics applications such as auralization, artificial reverberation, and equalization of loudspeaker-room responses for sound reproduction. Digital filtering is an efficient means for such modeling particularly in real-time implementations. In this paper we discuss new DSP-based methods to model measured room responses. Pole-zero modeling of dense modal patterns and temporal details is achieved by frequency-zooming ARMA modeling, i.e., by subband and multirate techniques. Another method is Kautz filtering that is attractive due to its orthonormal properties. The optimization of model filter parameters is discussed, the performance achieved is shown by example cases, and applications are shortly reviewed.
ER -