It is important to understand that human ears are as unique as fingerprints. Modeling the effect these complex ear features have on sound waves or Head-related transfer functions (HRTFs) is extremely critical in rendering an immersive experience that sounds natural and perceived outside the head. However, accurately measuring HRTFs using state-of-the-art methods is a complicated and tedious process that is also expensive in terms of computation and engineering resources. Measuring a person’s HRTF could take several hours that requires a subject to sit in an anechoic chamber and participate in measurements. The AI engine of Immerse Virtual Studio plugin models these personalized HRTFs in less than 60 seconds.
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