The Virtual Flute
An advanced fingering guide generated via machine intelligence
Bibliographic Data
| ID | 14872103 |
|---|---|
| Authors | Andrew Botros (UNSW Sydney, corresponding author), John Smith (0000-0002-0280-629X), John R Lindsay Smith (0000-0003-3605-2753, UNSW Sydney), Joe Wolfe (0000-0001-8030-0561, UNSW Sydney) |
| Year | 2006 |
| Volume | 35 |
| Issue | 3 |
| Pages | 183-196 |
| Publication date | 2006-09-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of New Music Research (JOURNAL) |
| Journal identifiers | ISSN: 0929-8215 • E-ISSN: 1744-5027 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/09298210601045559 |
| OpenAlex | W1996868604 |
| Language | EN |
| References cited | 15 |
The Virtual Flute is a web service that provides many thousands of machine-predicted alternative fingerings. Alternative fingerings can offer variations in intonation and timbre, and can be easier to play in different musical contexts. Many play multiphonics. An advanced fingering guide is invaluable when exotic effects and demanding passages are required of the player. The Virtual Flute uses an expert system that predicts musical properties from acoustic impedance spectra. Impedance spectra for the 39,744 acoustic configurations of the flute are generated by a physical model of the instrument, some parameters of which are machine-learned. We report the construction and use of The Virtual Flute (http://www.phys.unsw.edu.au/music/flute/virtual/)
Acoustics · Art · Flute · Human–computer interaction · Linguistics · Musical · Physics · Speech recognition · Timbre · Visual arts · Computer Science · Music and Audio Processing · Music Technology and Sound Studies · Neuroscience and Music Perception
| Highly cited | No |
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