| Autor: |
Julio Alarcon, Cesar D. Salvador, Javier Solis-Lastra |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
2021 IEEE XXVIII International Conference on Electronics, Electrical Engineering and Computing (INTERCON). |
| DOI: |
10.1109/intercon52678.2021.9532805 |
| Popis: |
Room impulse responses (RIRs) are a key tool in architectural acoustics and spatial sound for virtual reality. They characterize the room response between a sound source and a receiver. Directional RIRs at the receiver position can be measured with spherical microphone arrays or calculated with 3D models and numerical methods. Either because of a low number of microphones or limited computational capacity, there is a need to interpolate the RIRs to obtain higher directional resolutions. The spherical Fourier transform (SFT) enables a promising physics-based interpolation approach. However, existing SFT algorithms for acoustic purposes highly depend on the spherical distribution of microphones. This paper presents a SFT algorithm based on Tikhonov regularization that is suitable for random spherical distributions. Results show that the regularized SFT maintains the interpolation error bounded at high-energy values in time and up to a maximum frequency determined by the number of microphones. An open-source implementation is made publicly available to foster the reproducibility of this research. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
