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Throughout last 30 years, numerous head-related transfer function (HRTF)models have been developed and there are more to come. This paper describes aframework based on objective-oriented programming paradigm, in which each HRTFrepresentation method can be implemented as a separate class. Its modularstructure allows the source code to be conveniently shared between researchers,while common interface provides easy access to data regardless of the internalstructure of the classes. The paper discusses difficulties of designing theframework, maintaining the balance between its flexibility and finding commonfeatures of every possible directivity representation. Exemplary use cases areincluded and explained. Adoption of the framework will enhance possibilities ofaccuracy comparison between various HRTF models, thus improving the evaluationof current and future representation methods. The framework, developed in theform of a MATLAB toolbox, is designed to handle not only HRTFs but also othertypes of spatial data, such as e.g. sound source directivity, microphonedirectivity, etc.

Open-source objective-oriented framework for head-related transfer function