Music Neurotechnology for Sound Synthesis
Sound Synthesis with Spiking Neuronal Networks
Bibliographic Data
| ID | 10271644 |
|---|---|
| Authors | Eduardo Reck Miranda (0000-0002-8306-9585, University of Plymouth), John Matthias (University of Plymouth) |
| Year | 2009 |
| Volume | 42 |
| Issue | 5 |
| Pages | 439-442 |
| Publication date | 2009-10-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Leonardo (JOURNAL) |
| Journal identifiers | ISSN: 0024-094X • E-ISSN: 1530-9282 |
| Publisher | MIT Press - Journals (PUBLISHER) |
| DOI | 10.1162/leon.2009.42.5.439 |
| OpenAlex | W2113775736 |
| Language | EN |
| References cited | 8 |
Music neurotechnology is a new research area emerging at the crossroads of neurobiology, engineering sciences and music. Examples of ongoing research into this new area include the development of brain-computer interfaces to control music systems and systems for automatic classification of sounds informed by the neurobiology of the human auditory apparatus. The authors introduce neurogranular sampling, a new sound synthesis technique based on spiking neuronal networks (SNN). They have implemented a neurogranular sampler using the SNN model developed by Izhikevich, which reproduces the spiking and bursting behavior of known types of cortical neurons. The neurogranular sampler works by taking short segments (or sound grains) from sound files and triggering them when any of the neurons fire
Acoustics · Bursting · Physics · Sound (geography) · Speech recognition · Advanced Memory and Neural Computing · Computer Science · Neural dynamics and brain function · Neural Networks and Applications · Neuroscience · Psychology
| Highly cited | No |
|---|