Sound Synthesis, Propagation, and Rendering: A Survey
It offers a foundational overview for researchers and practitioners in computer graphics, virtual reality, and related fields, but is incremental as it synthesizes existing knowledge without introducing new methods.
This paper provides a comprehensive survey of sound simulation methods in virtual environments, covering synthesis, propagation, and rendering techniques, including recent deep learning approaches, and identifies future research directions.
Sound, as a crucial sensory channel, plays a vital role in improving the reality and immersiveness of a virtual environment, following only vision in importance. Sound can provide important clues such as sound directionality and spatial size. This paper gives a broad overview of research works on sound simulation in virtual reality, games, multimedia, computer-aided design. We first survey various sound synthesis methods, including harmonic synthesis, texture synthesis, spectral analysis, and physics-based synthesis. Then, we summarize popular sound propagation techniques, namely wave-based methods, geometric-based methods, and hybrid methods. Next, the sound rendering methods are reviewed. We further demonstrate the latest deep learning based sound simulation approaches. Finally, we point to some future directions of this field. To the best of our knowledge, this is the first attempt to provide a comprehensive summary of sound research in the field of computer graphics.