3 papers
eess.AS2025
Source Separation of Small Classical Ensembles: Challenges and Opportunities
Gerardo Roa-Dabike, Trevor J. Cox, Jon P. Barker +8
Musical (MSS) source separation of western popular music using non-causal deep learning can be very effective. In contrast, MSS for classical music is an unsolved problem. Classica…
cs.SD2024
The first Cadenza challenges: using machine learning competitions to improve music for listeners with a hearing loss
Gerardo Roa Dabike, Michael A. Akeroyd, Scott Bannister +8
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 t…
cs.SD2023
Overview Of The 2023 Icassp Sp Clarity Challenge: Speech Enhancement For Hearing Aids
Trevor J. Cox, Jon Barker, Will Bailey +4
This paper reports on the design and outcomes of the ICASSP SP Clarity Challenge: Speech Enhancement for Hearing Aids. The scenario was a listener attending to a target speaker in…