The ICASSP SP Cadenza Challenge: Music Demixing/Remixing for Hearing Aids

GR Dabike, MA Akeroyd, S Bannister… - … , Speech, and Signal …, 2024 - ieeexplore.ieee.org
This paper reports on the design and results of the 2024 ICASSP SP Cadenza Challenge:
Music Demixing/Remixing for Hearing Aids. The Cadenza project is working to enhance the …

The Cadenza ICASSP 2024 Grand Challenge

GR Dabike, MA Akeroyd, S Bannister, J Barker… - arXiv preprint arXiv …, 2023 - arxiv.org
The Cadenza project aims to enhance the audio quality of music for individuals with hearing
loss. As part of this, the project is organizing the ICASSP SP Cadenza Challenge: Music …

The first Cadenza challenges: using machine learning competitions to improve music for listeners with a hearing loss

GR Dabike, MA Akeroyd, S Bannister, JP Barker… - arXiv preprint arXiv …, 2024 - arxiv.org
It is well established that listening to music is an issue for those with hearing loss, and
hearing aids are not a universal solution. How can machine learning be used to address …

Time-domain music source separation for choirs and ensembles

S Sarkar - 2024 - qmro.qmul.ac.uk
Music source separation is the task of separating musical sources from an audio mixture. It
has various direct applications including automatic karaoke generation, enhancing musical …

[PDF][PDF] Audio Mixing and Stem Proportions Adjustment

EW Pratiwi, Y Tsao, S Rini - cadenzachallenge.org
Hearing aid users suffer from limitations in music perception and thus prefer music with a
clear audibility of lyrics. Our focus is on addressing this preference to create a more …

[PDF][PDF] Planning The 2nd Cadenza Challenge for Improving Music for People With a Hearing Loss

GR Dabike, MA Akeroyd, S Bannister, J Barker… - DMRN+ 18: Digital Music … - core.ac.uk
Cadenza is an ongoing EPSRC project that aims to improve music quality for those with a
hearing loss. The project is running signal processing and machine learning challenges to …