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Wwise unity for mac and windows3/2/2023 To keep things simple, I will simply present some demos illustrating the qualitative differences between each solution as I evaluated them in Wwise. There are numerous reasons (quality of the HRTF dataset, vector-based vs object-based panning, the shape of your own ears, etc.) which are beyond the scope of this article. If you’ve spent any time listening to spatial audio algorithms, it’s clear that some solutions sound better than others. As of Q4 2017, we're finally starting to see Wwise support becoming more widespread albeit in various degrees of maturity.Īs the market is evolving at a rapid pace, I’m not going even to try and keep this chart up to date but there is where the industry current stands: ![]() Some are platform specific while others offer cross-platform support. ![]() CURRENT SPATIAL AUDIO SOLUTIONSĪt the moment, there are at least ten different spatial audio solutions that I know of. In this article, I’ll be discussing the spatial audio solutions that are available for Wwise users and sharing some of the demos I made while evaluating them. This is especially true if you are developing cross-platform and are using Wwise for implementation. ![]() ![]() It was a technically challenging project for several reasons, one of which was the lack of fully developed tools and standards in AR/VR/MR audio. Recently, I had a chance to work on a unique GPS-driven, AR laser tag experience for iOS and Android.
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