| HAL-Inria | Publications, software ... of Inria's scientists |
Conference papers
Mean Absorption Coefficient Estimation From Impulse Responses: Deep Learning vs. Sabine
Résumé : We consider the problem of estimating the mean absorp-tion coefficients of a room from an impulse response us-ing supervised learning on simulated training sets. Twoneural network architectures and two training dataset de-signs are considered. The proposed approach is shown toyield smaller estimation errors than the classical Sabineand Eyring formulas, despite not relying on any geomet-rical information on the room. Simulated results demon-strate the robustness of the approach under different chal-lenging acoustic conditions.
Mots-clés :
Acoustique
Absorption acoustique
https://hal.inria.fr/hal-03045556
Contributor : Antoine Deleforge Connect in order to contact the contributor
Submitted on : Tuesday, December 8, 2020 - 9:38:50 AM
Last modification on : Friday, January 14, 2022 - 3:42:11 AM
Long-term archiving on: : Tuesday, March 9, 2021 - 6:32:56 PM
Contributor : Antoine Deleforge Connect in order to contact the contributor
Submitted on : Tuesday, December 8, 2020 - 9:38:50 AM
Last modification on : Friday, January 14, 2022 - 3:42:11 AM
Long-term archiving on: : Tuesday, March 9, 2021 - 6:32:56 PM
File
FA_2020.pdf
Files produced by the author(s)