Abstract
Created in conjunction with the Marine Institute at the University of Plymouth, the intention of this project was to
use data transmitted by the on-board sensors of the Mayflower Autonomous Ship (MAS), to manipulate specially
created pieces of music, based on sea shanties and folk ballads. Technical issues and Covid delays forced a late
change, and the project was switched to using data from the university’s weather stations. This paper will illustrate
how the music was produced and recorded, and the software configured to make the musical pieces vary and
evolve in real-time, according to the changing sea conditions, so that the public will be able to view the current
conditions and listen to the music evolve in real-time.
use data transmitted by the on-board sensors of the Mayflower Autonomous Ship (MAS), to manipulate specially
created pieces of music, based on sea shanties and folk ballads. Technical issues and Covid delays forced a late
change, and the project was switched to using data from the university’s weather stations. This paper will illustrate
how the music was produced and recorded, and the software configured to make the musical pieces vary and
evolve in real-time, according to the changing sea conditions, so that the public will be able to view the current
conditions and listen to the music evolve in real-time.
| Original language | English |
|---|---|
| Title of host publication | AES 151st Convention, 2021 October |
| Publisher | Audio Engineering Society |
| Pages | 16-19 |
| ISBN (Print) | 9781713839453 |
| Publication status | Published - 1 Oct 2021 |
| Event | Audio Engineering Society - Duration: 1 Oct 2021 → … |
Conference
| Conference | Audio Engineering Society |
|---|---|
| Period | 1/10/21 → … |
