Parametric spatial audio rendering aims to provide perceptually convincing audio cues
\nthat are agnostic to the playback system to enable the acoustic design of games and virtual
\nreality. The authors propose an algorithm for detecting perceptually important reflections
\nfrom spatial room impulse responses. First, a parametric representation of the sound field is
\nderived based on perceptually motivated spatio-temporal windowing, followed by a second
\nstep that estimates the perceptual salience of the detected reflections by means of a masking
\nthreshold. In this work, a vertical dependency is incorporated into both these components.
\nThis was inspired by recent research revealing that two sound sources in the median plane
\ncan evoke two independent auditory events if their spatial separation is sufficiently large. The
\nproposed algorithm is evaluated in nine simulated shoebox rooms with a wide range of sizes
\nand reverberation times. Evaluation results show improved selection of early reflections by
\naccounting for source elevation and suggest that for speech signals, the perceptual quality
\nincreases with an increasing number of rendered early reflections.<\/p>\n","protected":false},"excerpt":{"rendered":"
Parametric spatial audio rendering aims to provide perceptually convincing audio cues that are agnostic to the playback system to enable the acoustic design of games and virtual reality. The authors propose an algorithm for detecting perceptually important reflections from spatial room impulse responses. 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