Mark Hanslip: Neural Image Classification for Intelligent Real-Time Musical HCI (or 'building a robot ear') / Jane Chan: Tuning the Untuned: Oh God, The music certainly did not sound like this in my head...

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  • Date and time: Tuesday 8 March 2022, 4pm to 5.30pm
  • Location: D003, Sally Baldwin Buildings, Campus West, University of York (Map)
  • Booking:

Event details

Abstracts

Mark Hanslip – Neural Image Classification for Intelligent Real-Time Musical HCI (or 'building a robot ear')

I will present a (reasonably) robust method for leveraging image-domain neural networks for classifying real-time audio inputs and use the classifications as the basis for human-computer interactions. Practical issues such as accuracy, robustness and efficiency will be addressed, and example creative outputs will be demonstrated. 

Jane Chan - Tuning the Untuned: Oh God, The music certainly did not sound like this in my head…

The only information from composer to performer is the score, and from composer to performer to audience, the performance delivered. However, two listeners could easily have totally different experiences after hearing the same piece, as their ears have long been tuned to their own reception inclinations shaped by a lifelong journey of taste acquisition. As a composer, what role do we have on this aspect of our music? 

Meeting ID: 974 1147 1887
Passcode: 030134

Mark Hanslip and Jane Chan

Tenor saxophonist Mark Hanslip emerged in the mid-2000s as a key player on the London jazz scene, gigging nationally and internationally with groups including Outhouse, Nostalgia 77, Jonathan Bratoeff Quartet and Twelves, and has appeared on over 30 recordings on labels including Babel, F-iRE, Tru Thoughts, FMR and Tombed Visions. Now based in the north, he co-leads organ trio The Revival Room with keyboardist Adam Fairhall, plays in trio with Federico Reuben and Paul Hession, and is touring with his improvising group HTrio plus guest US trumpeter Nate Wooley. His doctroral practice-led research at the University of York examines the relationship between systematic processes and creative outcomes in improvised music through musical practice and computer models of improvisation.

Jane Chan is a composer, performer and arranger for both concert and theatre music. She began her musical career at a very young age, debuting with the world premiere of marimba solo piece With My Heart and appearing as featured artist on radio programmes at the age of ten. She studied English Literature at the University of York, but became interested in composition after taking an elective module with Roger Marsh. Her works grew in diversity through the close supervision of music professors from Harvard University and Princeton University. At Cambridge, Jane further explored her composing voice with Jeremy Thurlow and Richard Causton during her MPhil in Composition at Newnham College. In the next two years, Jane composed for international music competitions, Radio Television Hong Kong, the Hong Kong Philharmonic Orchestra, etc. and collaborated with two-time Grammy awardee Paul Phoenix in multiple publishing projects. Meanwhile, she also actively participated in competitions such as the Val Tidone International Music Competitions, earning the first prize in its 2019 Chamber Ensemble category. Currently, Jane is pursuing her PhD in Composition at the University of York with William Brooks and Stef Conner.