3 papers
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…
eess.AS2023
The First Cadenza Signal Processing Challenge: Improving Music for Those With a Hearing Loss
Gerardo Roa Dabike, Scott Bannister, Jennifer Firth +8
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 bet…
eess.AS2021
The Use of Voice Source Features for Sung Speech Recognition
Gerardo Roa Dabike, Jon Barker
In this paper, we ask whether vocal source features (pitch, shimmer, jitter, etc) can improve the performance of automatic sung speech recognition, arguing that conclusions previou…