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. © 151st Audio Engineering Society Convention 2021.
ABSTRACT
Today, with the COVID-19 pandemic, the demand for remote and asynchronous lessons for musical performance is rapidly increasing. In these lessons, teachers listen to recordings of musical performances and then return textual critique documents to the performers. However, the common document formats that exist in other fields are not widely known in the field of performance instruction. To address this issue, we launched a project in 2020 to collect and publish a dataset of critique documents. This study describes a statistical analysis of the dataset to investigate which types of elements are useful for performers. The multilevel modeling results revealed that the content of the critiques differed more depending on the teacher than on the musical piece or the student. Particularly, the number of sentences about giving practice advice is a key factor for useful critique documents. These findings would lead to improved forms of critique documents and, eventually, to the development of educational programs for teachers. © 2021, Springer Nature Switzerland AG.