{"id":664644,"date":"2020-06-05T13:03:37","date_gmt":"2020-06-05T20:03:37","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=664644"},"modified":"2020-06-22T15:46:12","modified_gmt":"2020-06-22T22:46:12","slug":"towards-encoding-perceptually-salient-early-reflections-for-parametric-spatial-audio-rendering","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/towards-encoding-perceptually-salient-early-reflections-for-parametric-spatial-audio-rendering\/","title":{"rendered":"Towards encoding perceptually salient early reflections for parametric spatial audio rendering"},"content":{"rendered":"

Parametric spatial audio rendering promises fast and perceptually convincing audio cues that remain playback-system agnostic and enable aesthetic modifications of the acoustic experience within games and virtual reality. We propose a parametric encoder for spatial room impulse responses that is tested with nine simulated rooms spanning a large range of sizes and reverberation times. A key component of the pipeline is a perceptually inspired model for determining a minimal set of salient early reflections to reduce computational complexity. The results of a listening study with 27 subjects suggest that rendering six early reflections is indiscernible from a fully-rendered reference for the tested speech content and frequency-independent room simulations based on the image source method. However, the proposed model requires further improvements with respect to detecting and selecting the most-salient early reflections.<\/p>\n

\"\"<\/p>\n

Related: Microsoft’s Project Acoustics<\/a> is a physics-based acoustic simulation and rendering solution based on Triton<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

Parametric spatial audio rendering promises fast and perceptually convincing audio cues that remain playback-system agnostic and enable aesthetic modifications of the acoustic experience within games and virtual reality. We propose a parametric encoder for spatial room impulse responses that is tested with nine simulated rooms spanning a large range of sizes and reverberation times. A 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