From symbols to sound
AI-based investigation of sound synthesis
Bibliographic Data
| ID | 14809598 |
|---|---|
| Authors | Eduardo Reck Miranda (0000-0002-8306-9585, University of Edinburgh, corresponding author) |
| Year | 1994 |
| Volume | 10 |
| Issue | 2 |
| Pages | 211-232 |
| Publication date | 1994-01-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Contemporary Music Review (JOURNAL) |
| Journal identifiers | ISSN: 0749-4467 • E-ISSN: 1477-2256 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/07494469400640441 |
| OpenAlex | W2042803734 |
| Language | EN |
| Citations received | 1 |
| References cited | 11 |
In this paper we investigate the possibility of an intelligent system for sound synthesis that would allow composition with sounds thought of in terms of abstract descriptions and operations rather than low level computer programing. Our research work is aimed at looking for plausible guidelines and strategies to map a composer's intuitive notion of sound structure to the parametric control of electronic sound synthesis. This paper shows how we attempted to approach the problem by means of a compilation of a few well known expert systems design techniques used in Artificial Intelligence (AI) research. We begin introducing the problem from a musician's point of view. Then we focus on two major issues of AI/Music: knowledge representation and machine learning. We propose a suitable representation scheme for sound synthesis followed by an inductive learning experiment towards an example prototype synthesiser. We also introduce the prototype functioning and suggest further work
Acoustics · Cognitive science · Computer music · Human–computer interaction · Musical · Parametric statistics · Visual arts · Computer Science · Music and Audio Processing · Music Technology and Sound Studies · Neuroscience and Music Perception · Artificial Intelligence
| Citations per year | 0.03 |
|---|---|
| Citation span | 1997 - 1997 (1) |
| Highly cited | No |