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.CV2018
Lip-Reading Driven Deep Learning Approach for Speech Enhancement
Ahsan Adeel, Mandar Gogate, Amir Hussain +1
This paper proposes a novel lip-reading driven deep learning framework for speech enhancement. The proposed approach leverages the complementary strengths of both deep learning and…