Skip to main content

Research Repository

Advanced Search

Welcome to USIR

Welcome to the University of Salford repository (USIR), an Open Access showcase for the published research output of the university. Our collection contains a wide range of research across multiple formats and subject areas.

Whenever possible, outputs will be made openly available here in full digital format for download, with many under a Creative Commons license. See our Policies for further information https://salford-repository.worktribe.com/policies.

Research Outputs

People

Schools

Research Projects



Latest Additions

Data for 'Automatic speech-to-background ratio selection to maintain speech intelligibility in broadcasts using an objective intelligibility metric' (2018)
Data

This repository contains the stimuli that were used in Expt. I, II and III and corresponding results in the following article.

Tang, Y., Fazenda, B.M. and Cox, T.J. (2018). "Automatic Speech-to-Background Ratio Selection to Maintain Speech Intelli... Read More about Data for 'Automatic speech-to-background ratio selection to maintain speech intelligibility in broadcasts using an objective intelligibility metric'.

Understanding the risk of pressure ulcers when sitting in adults What does it mean for me and my carers? Seating guidelines for people, carers, health and social care professionals (2018)
Digital Artefact

Costs for the prevention and management of pressure ulcers have increased significantly and there is limited published advice from health and social care organisations on seating and preventing pressure ulcers. At the request of the UK Tissue Viabili... Read More about Understanding the risk of pressure ulcers when sitting in adults What does it mean for me and my carers? Seating guidelines for people, carers, health and social care professionals.

Data for 'A non-intrusive method for estimating binaural speech intelligibility from noise-corrupted signals captured by a pair of microphones' (2018)
Data

This repository contains the stimuli that were used to elicit listener responses of speech intelligibility in noise, and the implementation of the main components of the proposed method

Tang, Y., Liu, Q., Wang, W. and Cox, T. J. (2017). "A non-int... Read More about Data for 'A non-intrusive method for estimating binaural speech intelligibility from noise-corrupted signals captured by a pair of microphones'.

Explore these research themes