Hybrid: Newton 241 or Microsoft Teams Join the meeting now Meeting ID: 345 520 840 202 6 Passcode: ih7vF6Ya Machine Learning-Based Prediction of Air Source Heat Pump Noise Annoyance Volkan Acun, Simone Graetzer, and Antonio J. Torija Martinez, University of Salford Air Source Heat Pumps (ASHPs) are pivotal in decarbonising domestic heating and air conditioning, yet noise emissions […]
Hybrid: Newton 241 or Microsoft Teams: Join the meeting now; Meeting ID: 393 480 335 939 7; Passcode: nq3sf7aB 1. Interviews with Singers with Hearing Loss; understanding barriers to participation and open questions for further research. Rebecca Vos¹, Trevor Cox¹, Alinka Greasley² ¹ University of Salford, ² University of Leeds This study aimed to understand the issues faced […]
Improving speech and music for people with a hearing loss The Clarity and Cadenza projects are running machine learning challenges to improve speech and music for people with a hearing loss. The World Health Organisation estimates that by 2050 2.5 billion people will have some form of hearing loss, with at least 700 million of […]
The Acoustics Research Centre is inviting expressions of interest for the 2021 round of MSCA Individual Fellowships with University of Salford as the host organisation. Deadline 1st July 2021.
