A dynamic reverberation algorithm for virtual acoustic rendering

Reverberation is crucial in virtual acoustic rendering, shaping spatial perception and immersion. This thesis explores the applicability of feedback-delay-network (FDN)-based artificial reverberation algorithms for real-time virtual environments. To optimise reverberator design, perceptual thresholds of key binaural room impulse response (BRIR) parameters—initial time delay gap (ITDG), early reflection strength, and late reverberation strength—are analysed across different room sizes.
A new binaural artificial reverberation algorithm, enhancing the Schroeder and Moorer models, is developed with high-frequency noise filtering, air absorption simulation, and refined binaural synthesis. Comparative evaluations show that it improves reverberation rendering, particularly for small and medium-sized rooms.
To further optimise virtual acoustic simulation, the proposed algorithm (for small rooms), Schroeder (for medium rooms), and Gardner (for large rooms) are integrated into a hybrid model, implemented as an audio plug-in for digital audio workstation (DAW) etc. virtual environments. Numerical evaluation confirms the model’s effectiveness in simulating real-world BRIRs, contributing to the development of computationally efficient and perceptually accurate artificial reverberation algorithms for immersive virtual audio applications.