Modelling of moving sound sources using compressive beamforming for auralization
- Akustische Virtuelle Realität
Masterarbeit von Li, Yan
Compressive beamforming (CB) is a method to reconstruct sparse signals using few measurements by solving a convex minimization problem. CB not only has good localization resolution, but is also able to reconstruct source signals with phase information. For moving sound sources, CB guarantees an acceptable localization resolution; Besides, phase information benefits auralization by completely reconstructing source signals. This paper focuses on obtaining the signals of moving sound sources for auralization using CB. A microphone array will be applied to record a pass-by moving sound source. The deployment of the array should be determined in terms of a better performance. Subsequently, the recordings are processed by CB to localize and reconstruct the source signal. Finally, the reconstructed signal will be added to the moving sound source in virtual reality (VR) for auralization.