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| Content Provider | ACM Digital Library |
|---|---|
| Author | Bailey, Nicholas Percival, Graham Tzanetakis, George |
| Abstract | This work improves the realism of synthesis and performance of string quartet music by generating audio through physical modelling of the violins, viola, and cello. To perform music with the physical models, virtual musicians interpret the musical score and generate actions which control the physical models. The resulting audio and haptic signals are examined with support vector machines, which adjust the bowing parameters in order to establish and maintain a desirable timbre. This intelligent feedback control is trained with human input, but after the initial training is completed, the virtual musicians perform autonomously. The system can synthesize and control different instruments of the same type (e.g., multiple distinct violins) and has been tested on two distinct string quartets (total of 8 violins, 2 violas, 2 cellos). In addition to audio, the system creates a video animation of the instruments performing the sheet music. |
| Starting Page | 103 |
| Ending Page | 112 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781450324045 |
| DOI | 10.1145/2502081.2502101 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2013-10-21 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Autonomous music performance Intelligent feedback control Machine learning Physical modelling Violin synthesis |
| Content Type | Text |
| Resource Type | Article |
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