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- W2895578601 abstract "Despite the fact that individualized head-related transfer functions (HRTFs) are critical for achieving high fidelity virtual audio representation, the techniques for measuring them, which have been around for decades, are too costly for most potential users. As such, many strategies have been proposed that aim to improve virtual audio fidelity by personalizing a non individualized HRTF-based on input (or anthropometric information) from the user. Unfortunately, evaluations of these methodologies have varied widely from purely computational to purely subjective, making comparisons across studies or to objective behavioral performance metrics difficult. The current work presents the Open Virtual Auditory-Localization Environment (OpenVALE), a software toolkit for providing a common, objective, HRTFbased auditory localization task via new, relatively low-cost, commercial VR headsets. The heart of OpenVALE is a server application that allows researchers to dynamically load custom HRTFs, present spatialized auditory stimuli, collect hand- or head-slaved, cursor-based localization responses, and provide visual feedback, all through simple string-based IP socket messages from any compatible client application (e.g. Matlab, Java, Python, etc.). An initial validation of the task environment, based on individualized HRTF measurements, is described." @default.
- W2895578601 created "2018-10-12" @default.
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- W2895578601 date "2017-01-01" @default.
- W2895578601 modified "2023-10-12" @default.
- W2895578601 title "OpenVALE: An open-source virtual environment for auditory localization" @default.
- W2895578601 doi "https://doi.org/10.1121/2.0000880" @default.
- W2895578601 hasPublicationYear "2017" @default.
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