Post-Training Adaptation of Generative Audio Models

education program·summer research program·active

Eight-week Summer Research Programme project on responsible adaptation of generative audio models to protected musical repertoires and styles.

Verified facts

Official site	https://www.liverpool.ac.uk/global-opportunities/visiting-students/summer-research-programme/projects/computer-science-generative-audio-models/ ↗
Geography	Liverpool, England, United Kingdom
module code	COMP298
price	Programme price not captured
title	Post-Training Adaptation of Generative Audio Models
format	hybrid
topics	generative audio; post-training adaptation; responsible AI; deep learning; MIR; protected musical repertoire
duration	8 weeks
end date	2026-08-07
language	English
location	Liverpool with hybrid participation
provider	University of Liverpool
recurrence	2026 Summer Research Programme
start date	2026-06-15
instructors	Jacopo de Berardinis
program type	summer research project
prerequisites	Machine-learning training with PyTorch, JAX or TensorFlow; audio experience desirable
program state	active
target audience	visiting students with machine-learning experience
learning outcomes	Investigate latent-space or weight adaptation for generative audio; complete a supervised research project
application deadline	Application window closed before the snapshot
credential or outcome	Research project under COMP298
scholarship and funding	Funding or bursary details not captured