Scottish Group Audio Research Evening

Scottish Group Audio Research Evening

Date: 13 Feb 2019
Time: 18:30

Location: Glasgow Caledonian University
70 Cowcaddens Road
Glasgow G4 0BA

See below for location map.

This AES Scotland event will focus on some of the cutting edge audio research currently being undertaken in Scotland. It will feature presenters from 3 different Universities include:

  • James Scanlan (Dundee)
  • Xiaoquan Li (Strathclyde)
  • Eddie Averell (GCU)

Presenter biographies and talk descriptions are as follows:

6:30pm start in Room W010 (Hamish Wood Building) – https://www.gcu.ac.uk/theuniversity/howtofindus/campusmap/

 

James Scanlan

James is a PhD Student at Dundee University researching digital technology for live orchestral music engagement. Prior to this James worked for 15 years in the gaming industry as a technical sound designer and lectured at Abertay University on their Creative Sound Production Degree. James is mainly interested in the development of digital art and music through creative media tools, particularly developing tool-sets that encourage creative expression and interdisciplinary collaboration. He is also also interested in real-time adaptive sound design and concepts in generative and aleatoric music composition.

James will present his research into digital technology for orchestral music engagement and how this integrates with his research partner, The Royal Scottish National Orchestra.

He will cover how digital technologies and gamification provide new ways for cultural organisations to develop, engage and involve new and hard-to-reach audiences. Additionally, he will discuss how his project intends to develop and evaluate innovative software tools to explore the relationships between musical performance, recorded material and audiences.


Xiaoquan Li

Xiaoquan is a third year PhD student in Centre for excellence in Signal and Image Processing (CeSIP) at the University of Strathclyde. Her research interests span both audio signal processing and music where centres on Automatic Music Transcription(AMT) and Polyphonic music transcription by using unsupervised, machine learning and deep learning methods. She is also concerned about instruments and chord recognition in polyphonic music.

For this event her talk topic is ‘harmonic structure detection in polyphonic music transcription’. She’s going to introduce you to the engineering world of polyphonic music by describing her work in a simple way. During her talk, she’ll refer to what’s going on in academia today, how automatic music transcription is being done, what are the challenges and where can it be applied.


Eddie Averell
Eddie is a PhD student from Glasgow Caledonian University. He is a member of the AES and treasurer of the IEEE GCU student branch. He carried out his undergraduate degree in Audio Technology at GCU, focusing on algorithmic composition and music cognition for his honours year. His PhD project ‘Game technology to support arm rehabilitation after stroke’ explores the development of rhythm and music-based computer games to assist arm rehabilitation following stroke.
The presentation will describe the design and development of rhythm-based music game technology to support upper arm rehabilitation following a stroke. The potential benefit of game technology for rehabilitation is well established. However, there is a significant gap in research incorporating Rhythmic Auditory Cueing (RAC), the practice of synchronising rehabilitation movements with a periodic rhythm. The talk will describe the design and development of a prototype game system which incorporates RAC, using music as the rhythmic stimulus. ​


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