Journal article

Speech discrimination performance in multiple sclerosis dataset

Pippa Iva, Joanne Fielding, Meaghan Clough, Owen White, Gustavo Noffs, Branislava Godic, Russell Martin, Anneke van der Walt, Ramesh Rajan

Data in Brief | ELSEVIER | Published : 2020


The most complex interactions between human beings occur through speech, and often in the presence of background noise. Understanding speech in noisy environments requires the integrity of highly integrated and widespread auditory networks likely to be impacted by multiple sclerosis (MS) related neurogenic injury. Despite the impact auditory communication has on a person's ability to navigate the world, build relationships, and maintain employability; studies of speech-in-noise (SiN) perception in people with MS (pwMS) have been minimal to date. Thus, this paper presents a dataset related to the acquisition of pure-tone thresholds, SiN performance and questionnaire responses in age-matched c..

View full abstract