Portfolio
Below you can find a selection of my data analysis and programming projects, the majority of which relate to my PhD research and publications.
Sampling involves reusing recorded music or sounds from another source and is common in genres like hip-hop and rap. We trained a deep learning model to identify samples in a large music catalog from Spotify and developed an interactive web application to explore the predictions it made.

A web application that uses a variety of machine learning models to intuitively show differences in style between 20 famous jazz musicians.

An automated pipeline that uses deep-learning assisted audio signal processing to identify the performer playing on a given jazz recording.

A dataset of 45 hours of commercial jazz recordings annotated using an automated signal processing pipeline

A new software platform for introducing controlled manipulations into multiple synchronised audio-video feeds during an experiment

Teaching materials for pre-university level workshop, introducing a variety of music information retrieval concepts in no-code interactive environments
