Instrument design using machine learning and artificial intelligence
| Main Author: | Wærstad, Bernt Isak |
|---|---|
| Format: | Proceeding eJournal |
| Bahasa: | eng |
| Terbitan: |
, 2020
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/3932927 |
Daftar Isi:
- The relationship between a performer and their instrument is an intricate one. To me, performing (together) with an instrument is as much about communication as it is about control. The instrument provides me with both resistance and inspiration in what I see essentially as a musical dialogue. There is something in this dialogue that feels fundamentally different to me when using digital instrument as opposed to traditional acoustic instruments. Digital instruments often tend to lack some of the response and resistance that is inherent in the acoustic instruments, while at the same time affording different modes of communication and interaction between the performer and the instrument. The purpose of this research project is to explore some digital instrument design strategies through analysis and exploration of those affordances. By using techniques more idiomatic to the digital domain like machine learning, artificial intelligence and computational creativity, I am seeking to both remedy the aforementioned shortcomings and facilitate new practices for performance and music production.