Digital Music Research NetworkEPSRC Network GR/R64810/01 |
|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DMRN > News/Events | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
DMRN+11: Digital Music Research Network One-day Workshop 2016Queen Mary University of London
|
EPSRC EP/L019981/1 |
---|
will talk on "Rapid API - Interactive approaches to coding cross-platform digital musical instruments with machine learning".
Digital music is an important and fast-moving research area. Sophisticated digital tools for the creation, generation and dissemination of music have established clear synergies between music and leisure industries, the use of technology within art, the creative industries and the creative economy. Digital music research is emerging as a "transdiscipline" across the usual academic boundaries of computer science, electronic engineering and music.
The Digital Music Researh Network (DMRN) aims to promote research in the area of Digital Music, by bringing together researchers from UK universities and industry in electronic engineering, computer science, and music.
DMRN will be holding its next 1-day workshop on Tuesday 20th December 2016. The workshop will include invited and contributed talks, and posters will be on display during the day, including during the lunch and coffee breaks.
The workshop will be an ideal opportunity for networking with other people working in the area. There will also be an opportunity to continue discussions after the Workshop in a nearby Pub/Restaurant.
See also information about past events: DMRN+10, DMRN+9, DMRN+8, DMRN+7, DMRN+6, DMRN+5, DMRN+4, DMRN+3, DMRN+2, DMRN+1
You are invited to submit a proposal for a talk and/or a poster to be presented at this event.
Talks may range from the latest research, through research overviews or surveys, to opinion pieces or position statements, particularly those likely to be of interest to an interdisciplinary audience. Most talks will be 20 to 30 minutes, although there may be some flexibility to accommodate other lengths depending on the number of submissions. Short announcement about other items of interest (e.g. future events or other networks) are also welcome.
Posters can be on any research topic of interest to the members of the network. Posters (A0 portrait) will be on display through the day, including lunch break and coffee breaks. The poster abstracts will be collated into a digest and distributed on the day, and authors will be encouraged to submit an electronic versions of posters (e.g. in PDF format) to allow the posters to be viewed after the event.
Please submit your talk or poster proposal in the form of an abstract (maximum 1 page of A4) in an email to dmrn@lists.eecs.qmul.ac.uk giving the following information about your presentation:
Abstract submission deadline: Friday 18 November 2016.
You will be notified of acceptance by Friday 2 December 2016.
Each poster must fit on a poster board that is 3 feet (91.4 cm) wide and 6 feet (182.9 cm) tall. However, posters should not reach down to the floor as this makes them hard to read. Posters should therefore be no more than 85 cm (33.5 in) wide and no more than 119 cm (46.9 in) tall (i.e., no larger than A0 portrait or A1 landscape).
IMPORTANT: Posters wider than the stated dimensions will not fit on the poster boards. A0 landscape is TOO WIDE.
10:30 |
Registration opens |
11:00 |
Welcome and opening remarks Prof. Mark Sandler (Director, Media and Arts Technology, Queen Mary University of London) |
11:10 |
KEYNOTE "Rapid API - Interactive approaches to coding cross-platform digital musical instruments with machine learning", Dr Mick Grierson (Goldsmiths University of London) |
11:50 |
"Towards intuitive music creation tools for musically untrained people", Tetsuro Kitahara (Nihon University, Japan) |
12:10 |
"Working toward computer-augmented music traditions", Bob L. Sturm (Queen Mary University of London) and Oded Ben-Tal (Kingston University) |
12:30 |
"Exploring nonlinear dynamics in musical instruments", Tom Mudd, Simon Holland and Paul Mulholland (Open University) |
12:50 |
Buffet Lunch, Networking |
14:00 |
"Note onset detection based on a spectral sparsity measure applied to strings instruments", Mina Mounir and Toon van Waterschoot (KU Leuven) |
14:20 |
"Automatic detection of metrical structure changes", Elio Quinton, Ken O’Hanlon, Simon Dixon and Mark Sandler (Queen Mary University of London) |
14:40 |
"Melody generation with stratified probabilistic context-free grammars", Ryan Groves (Universidad del País Vasco ) and Darrell Conklin (Universidad del País Vasco & Basque Foundation for Science) |
15:00 |
"Meter detection from music data", Andrew McLeod and Mark Steedman (University of Edinburgh) |
15:20 |
Tea/Coffee |
15:40 |
"Interacting with robots as performers and producers of music", Alan Chamberlain (University of Nottingham), Kevin R. Page, David De Roure, Graham Klyne and Pip Willcox(University of Oxford) |
16:00 |
"Classification of piano pedaling techniques using gesture data from a non-intrusive measurement system", Beici Liang, Gyorgy Fazekas, Andrew McPherson and Mark Sandler (Queen Mary University of London) |
16:20 |
"Conceptualizing relevance for music information retrieval", David M. Weigl (University of Oxford) |
16:40 |
"Community-building to support and encourage women and girls in music technology", Amy V. Beeston (University of Sheffield), Lucy Cheesman (Sheffield Hallam University) and Elizabeth Dobson (University of Huddersfield) |
17:00 |
Panel Discussion |
17:30 |
Close* |
* - There will be an opportunity to continue discussions after the Workshop in a nearby Pub/Restaurant.
1 |
"An empirical approach to relationship between emotion and music production quality", David Ronan, Joshua D. Reiss (Queen Mary University of London) and Hatice Gunes (University of Cambridge) |
2 |
"Improved pitch trajectory estimation for polyphonic single-channel audio mixtures", Alejandro Delgado-Castro and John E. Szymanski (University of York) |
3 |
"Performable spectral synthesis via low-dimensional modelling and control mapping", William Wilkinson, Dan Stowell and Joshua D. Reiss (Queen Mary University of London) |
4 |
"Understanding creativity and autonomy in music performance and composition: A proposed ‘toolkit’ for research and design", Alan Chamberlain (University of Nottingham), David De Roure, Pip Willcox (University of Oxford), Steve Benford and Chris Greenhalgh (University of Nottingham) |
5 |
"Automatic control of the dynamic range compressor using a regression model and a reference sound", Di Sheng and György Fazekas (Queen Mary University of London) |
6 |
"Computational corpus analysis of native American music", Kerstin Neubarth (Canterbury Christ Church University), Daniel Shanahan (Louisiana State University) and Darrell Conklin (Universidad del País Vasco & Basque Foundation for Science) |
7 |
"Towards a music language model for audio analysis", Adrien Ycart and Emmanouil Benetos (Queen Mary University of London) |
8 |
"Designing a highly expressive algorithmic music composition system for non-programmers", Matt Bellingham, Simon Holland and Paul Mulholland (University of Wolverhampton) |
9 |
"Explaining predictions of machine listening systems", Saumitra Mishra, Bob L. Sturm and Simon Dixon (Queen Mary University of London) |
10 |
"Experimental digital humanities: Creative interventions in algorithmic composition on a hypothetical mechanical computer", David De Roure, Pip Willcox (University of Oxford) and Alan Chamberlain (University of Nottingham) |
11 |
"Subjective evaluation of synthesised sound effects", David Moffat and Joshua D. Reiss (Queen Mary University of London) |
12 |
"Comparative evaluation of rhythm transcription algorithms on polyphonic piano datasets", Eita Nakamura and Kazuyoshi Yoshii (Kyoto University) |
13 |
"Intelligent audio mixing using deep learning", Marco Martinez and Joshua D. Reiss (Queen Mary University of London) |
14 |
"Understanding the social character of metadata in music production", Glenn McGarry (University of Nottingham) |
15 |
"Automatic transcription of vocal quartets", Rodrigo Schramm and Emmanouil Benetos (Queen Mary University of London) |
A registration fee is payable, to cover room hire & refreshments.
Registration fees:
How to Register
Please register on-line, here.
DMRN+11
Att. Panos Kudumakis
qMedia, Queen Mary University of London
Mile End Road, London E1 4NS, UK
Tel: +44 (0)20 7882 6152
The Event will take place at the Arts One Lecture Theatre, Queen Mary University of London, Mile End Road, London E1 4NS.
The venue is easily accessible by public transport. It is within a five minute walk of both Mile End Underground station (Central, District, and Hammersmith & City lines) and Stepney Green Underground station (District, and Hammersmith & City lines).
For travel information, see [opens in new window]:
Suggested hotels for staying before or after the workshop:
Last Updated: 5 May, 2017. © Queen Mary, University of London 2006 | ||