EnhanceMusic: Machine Learning Challenges to Revolutionise Music Listening for People with Hearing Loss

The cadenza woodwind dataset: Synthesised quartets for music information retrieval and machine learning. (2024)
Journal Article

This paper presents the Cadenza Woodwind Dataset. This publicly available data is synthesised audio for woodwind quartets including renderings of each instrument in isolation. The data was created to be used as training data within Cadenza's second o... Read More about The cadenza woodwind dataset: Synthesised quartets for music information retrieval and machine learning..

Muddy, muddled, or muffled? Understanding the perception of audio quality in music by hearing aid users (2024)
Journal Article

Introduction: Previous work on audio quality evaluation has demonstrated a developing convergence of the key perceptual attributes underlying judgments of quality, such as timbral, spatial and technical attributes. However, across existing research t... Read More about Muddy, muddled, or muffled? Understanding the perception of audio quality in music by hearing aid users.

The First Cadenza Signal Processing Challenge: Improving Music for Those With a Hearing Loss (2023)
Presentation / Conference Contribution

The Cadenza project aims to improve the audio quality of music for those who have a hearing loss. This is being done through a series of signal processing challenges, to foster better and more inclusive technologies. In the first round, two common li... Read More about The First Cadenza Signal Processing Challenge: Improving Music for Those With a Hearing Loss.