Performing with a Mobile Computer System for Vibraphone
December 01, 2020 ยท Declared Dead ยท ๐ New Interfaces for Musical Expression
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Charles Martin
arXiv ID
2012.00265
Category
cs.SD: Sound
Cross-listed
cs.HC,
eess.AS
Citations
1
Venue
New Interfaces for Musical Expression
Last Checked
4 months ago
Abstract
This paper describes the development of an Apple iPhone based mobile computer system for vibraphone and its use in a series of the author's performance projects in 2011 and 2012. This artistic research was motivated by a desire to develop an alternative to laptop computers for the author's existing percussion and computer performance practice. The aims were to develop a light, compact and flexible system using mobile devices that would allow computer music to infiltrate solo and ensemble performance situations where it is difficult to use a laptop computer. The project began with a system that brought computer elements to Nordlig Vinter, a suite of percussion duos, using an iPhone, RjDj, Pure Data and a home-made pickup system. This process was documented with video recordings and analysed using ethnographic methods. The mobile computer music setup proved to be elegant and convenient in performance situations with very little time and space to set up, as well as in performance classes and workshops. The simple mobile system encouraged experimentation and the platforms used enabled sharing with a wider audience.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
๐ Similar Papers
In the same crypt โ Sound
๐ฎ
๐ฎ
The Ethereal
R.I.P.
๐ป
Ghosted
Multi-talker Speech Separation with Utterance-level Permutation Invariant Training of Deep Recurrent Neural Networks
R.I.P.
๐ป
Ghosted
The fifth 'CHiME' Speech Separation and Recognition Challenge: Dataset, task and baselines
R.I.P.
๐ป
Ghosted
TasNet: time-domain audio separation network for real-time, single-channel speech separation
R.I.P.
๐ป
Ghosted
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
R.I.P.
๐ป
Ghosted
MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation
Died the same way โ ๐ป Ghosted
R.I.P.
๐ป
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
๐ป
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
๐ป
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
๐ป
Ghosted