S. Feistel, D. Ackermann, and S. Weinzierl, “Using high-resolution directivity data of musical instruments for acoustic simulation and auralization,” in Proc. AES Convention 155, Oct. 2023, Paper 132. [Online]. Available: https://aes.org/publications/elibrary-page/?id=22286
Feistel S, Ackermann D, Weinzierl S. Using high-resolution directivity data of musical instruments for acoustic simulation and auralization. In: AES Convention 155. Audio Engineering Society; 2023. Paper 132. Available from: https://aes.org/publications/elibrary-page/?id=22286
@inproceedings{Feistel2023_22286,
author = {Feistel, Stefan and Ackermann, David and Weinzierl, Stefan},
title = {{Using high-resolution directivity data of musical instruments for acoustic simulation and auralization}},
booktitle = {AES Convention 155},
note = {Paper 132},
year = {2023},
month = oct,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=22286}
}
TY - CPAPER
TI - Using high-resolution directivity data of musical instruments for acoustic simulation and auralization
AU - Feistel, Stefan
AU - Ackermann, David
AU - Weinzierl, Stefan
T2 - AES Convention 155
M1 - Paper 132
PY - 2023
DA - 2023/10/06
UR - https://aes.org/publications/elibrary-page/?id=22286
PB - Audio Engineering Society
LA - en
AB - In a larger measurement campaign the directivity, sound power, and several audio features were measured for 41 musical instruments. This paper discusses the processing of the data for use in acoustic modeling programs. For this purpose, the directional measurements had to be converted to FIR data sets and the output level had to be calibrated for each instrument. The resulting GLL files for use in software such as EASE are now publicly available. Typical applications are discussed, such as coverage evaluation, source localization, as well as the simulated critical distance of musical instruments, which can be used to optimize microphone positions. Finally, auralizations of rooms are often based on musical performances, which can now be generated using real-world data.
ER -