Room Acoustic Characterization using First-Order Ambisonics

Bastine A, Abhayapala TD, Zhang J(. Room Acoustic Characterization using First-Order Ambisonics. In: AES Conference: AES 2022 International Audio for Virtual and Augmented Reality Conference. Audio Engineering Society; 2022. Paper 37. Available from: https://aes.org/publications/elibrary-page/?id=21867

@inproceedings{Bastine2022_21867,
  author = {Bastine, Amy and Abhayapala, Thushara D. and Zhang, Jihui (Aimee)},
  title = {{Room Acoustic Characterization using First-Order Ambisonics}},
  booktitle = {AES Conference: AES 2022 International Audio for Virtual and Augmented Reality Conference},
  note = {Paper 37},
  year = {2022},
  month = aug,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=21867}
}

TY  - CPAPER
TI  - Room Acoustic Characterization using First-Order Ambisonics
AU  - Bastine, Amy
AU  - Abhayapala, Thushara D.
AU  - Zhang, Jihui (Aimee)
T2  - AES Conference: AES 2022 International Audio for Virtual and Augmented Reality Conference
M1  - Paper 37
PY  - 2022
DA  - 2022/08/06
UR  - https://aes.org/publications/elibrary-page/?id=21867
PB  - Audio Engineering Society
LA  - en
AB  - Comprehensive characterization of room acoustics requires high-resolution spatial analysis using higher-order microphone array measurements. With the application of a recently proposed room acoustic analyzer based on Eigenbeam spatial correlation method and von Mises–Fisher (vMF) mixture modeling, it was found that first-order ambisonics estimated from a 32-channel spherical microphone array measurement can fairly estimate crucial room acoustic factors related to room modes, early reflections and dominant reflection directions. In this paper, we will evaluate the viability of this analyzer using first-order microphone array measurements. The study is conducted using B-format room impulse response dataset of a classroom for different receiver positions. The estimated reflection power spectrum and anisotropic reflection features complied with existing insights from the higher-order analysis. By applying an Eigenbeam-vMF-based analyzer, first-order microphone arrays can be efficiently utilized in room acoustic applications to identify coloration frequencies and early reflection sources.
ER  -