Fast synthesis of perceptually adequate room impulse responses from ultrasonic measurements

Audio Augmented Reality: A Systematic Review of Technologies, Applications, and Future Research Directions

“…Based on the modeled geometry and the classification of materials, some computational techniques can be applied to generate the desired IRs [113]. In addition to the geometry and material-based sound propagation simulation approaches, it is also possible to exploit parametric methods for statistically coding desired IRs [114]. It is possible to statistically code a sound field because much of the perceptual quality of virtually rendered sounds can be quantified by a few critical acoustic parameters (e.g., reverberation time) [114].…”

“…In addition to the geometry and material-based sound propagation simulation approaches, it is also possible to exploit parametric methods for statistically coding desired IRs [114]. It is possible to statistically code a sound field because much of the perceptual quality of virtually rendered sounds can be quantified by a few critical acoustic parameters (e.g., reverberation time) [114]. Compared to a complete sound propagation simulation based on the geometry and surface material properties, the parametric coding method may run faster and have lower computational requirements.…”

“…In summary, although research on room acoustics modeling has been active for a long time, little of it has been implemented in AAR systems. One reason could be that some room acoustics modeling methods are computationally expensive [109][110][111] or require additional measure-ments in the application environments [111,114], which makes them difficult to be used for interactive AAR applications in arbitrary environments. From another perspective, it has been analyzed that room acoustics modeling played a less important role in some AAR systems, and thus this component was little considered when designing the system.…”