Apparatus and method for determining virtual sound source

Abstract

An acoustic image source model for early reflections is generated by iteratively mirroring (305) a room around boundaries (e.g., walls) of a previously iterated room. A boundary to be mirrored to its surroundings in each iteration is determined (303) by specific selection criteria. The selection criterion comprises the following requirements: the mirror image direction cannot be reversed; not in the exclusion direction; and the method cannot be repeated unless in a series of continuous mirror image processing.

Description

technical field [0001] The present invention relates to apparatus and methods for determining virtual sound sources representing reflections of sound sources in a room, and in particular, but not exclusively, to virtual sound sources for rendering acoustics in augmented / virtual reality applications. Background technique [0002] In recent years, with the continuous development and introduction of new services and ways of utilizing and consuming audiovisual content, the variety of experiences based on audiovisual content has greatly increased. In particular, many spatial and interactive services, applications and experiences are being developed to give users a more engaging and immersive experience. [0003] Examples of such applications are virtual reality (VR) applications, augmented reality (AR) applications, and mixed reality (MR) applications, which are rapidly becoming mainstream, with many solutions targeting the consumer market. Many standardization bodies are also d...

AI Technical Summary

Problems solved by technology

However, while this model can provide efficient and high-quality modeling of early reflections compared to less room-shape-constrained methods such as ray tracing or finite element modeling, it often has some disadvantages

Specifically, such models tend to remain relatively complex and have unnecessarily high computational resource requirements, especially for finding virtual reflection sources

For example, the process may result in many generated copies of the source that need to be further considered, processed, destroyed

These disadvantages tend to lead to a high number of reflections to be considered, and in many practical applications, the number of reflections is correspondingly limited, resulting in reduced model accuracy and quality

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