Close menu


Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.


Young, Michael (2014) Piano_prosthesis. [Audio]

Item Type: Audio


This is one of a developing series of duos for a human and a machine performer. Both “musicians” adapt to each other through mutual listening (i.e., via audio only) and response as the performance develops. The human’s improvisation is encoded by the computer through statistical analysis of extracted features and by cataloguing these in real time. Each observation made by the computer is assigned to a set of musical output behaviors. Recurring features of the player’s improvisation can then be recognized by the computer. The machine “expresses” this recognition by developing, and modifying, its own musical output, just as another player might.

comj_a_00274.pdf - Published Version

Download (149kB) | Preview

More Information

Additional Information: Computer Music Journal, Winter 2014, Vol. 38, No. 4 Sound and Video Anthology: Content
Related URLs:
Depositing User: Michael Young


Item ID: 6925
Official URL:

Users with ORCIDS

Catalogue record

Date Deposited: 22 Feb 2017 13:46
Last Modified: 20 May 2019 13:34


Author: Michael Young

University Divisions

Services > University Executive


Computing > Human-Computer Interaction
Performing Arts > Music

Actions (login required)

View Item View Item