| Contents |
Musical perception and reproduction through artificial intelligence: a review -- JavaScript based testing environment. Choosing the tools -- Environment description -- Limitations -- Multimedia enhanced testing system. Programming language -- Development environment -- Functionality -- The MediaBox -- Media types -- Information management system -- Student testing environment -- Testing system -- Instructor web interface -- Programming examples. JavaScript testing environment -- Java interval practice panel -- Java MediaBox. |
| Summary |
The purpose of this thesis is to explore two emerging technologies and their applicability to music. These technologies are artificial intelligence and the Internet. Current and potential uses of artificial intelligence to perceive, create, and perform music are discussed. Both limitations of current approaches and new possibilities are presented. Uses of the Internet for music instruction are explored through the creation of two online music testing systems. JavaScript, HTML, and RealAudio are used for the first system. Its limitations set the foundation for a Java based application called the Multimedia Enhanced Testing System (METS). This system makes use of online databases to manage content published both dynamically as web documents and through Java for secure student testing. Apple Computer's QuickTime for Java technology provides the capability for a media rich environment that can be used for testing anywhere. |
| General note | Presented to the faculty of the School of Music. |
| Dissertation note | M.M. East Carolina University 1999. |
| Bibliography note | Includes bibliographical references (leaves 104-105). |
