It is an alternative to sample and stream-based representations of audio which are the prevalent modes of sound dissemination at this time. The following page is a summary of my thoughts on Model-Based Audio for its utilization as a practical technique for audio applications on computer networks such as the Internet .
Sounds created in the traditional way require massive storage and bandwidth resources.
This static quality makes it impossible to reflect changes in an interactive environment, such as the car slowing down or skidding, without storing an exhaustive set of sounds for every possible outcome. The following paragraphs outline the general principles behind Model-Based Audio with particular reference to my research on Perceptual Audio Models . Such languages can be described as Algorithmic Sound Specification for audio. They work by creating audio samples from a set of signal processing building blocks, often call unit generators , and on the newest generations of hardware platforms they can perform quite well in real time. The Machine Listening Group's NetSound project is an example of Algorithmic Sound Specification used for music transportation over computer networks.