Synthesizing auditory icons

Auditory icons add valuable functionality to computer interfaces, particularly when they are parameterized to convey dimensional information. They are difficult to create and manipulate, however, because they usually rely on digital sampling techniques. This paper suggests that new synthesis algorithms, controlled along dimensions of events rather than those of the sounds themselves, may solve this problem. Several algorithms, developed from research on auditory event perception, are described in enough detail here to permit their implementation. They produce a variety of impact, bouncing, breaking, scraping, and machine sounds. By controlling them with attributes of relevant computer events, a wide range of parameterized auditory icons may be created.