Assessment of hearing aid algorithms using a master hearing aid: the influence of hearing aid experience on the relationship between speech recognition and cognitive capacity. (25th May 2018)
- Record Type:
- Journal Article
- Title:
- Assessment of hearing aid algorithms using a master hearing aid: the influence of hearing aid experience on the relationship between speech recognition and cognitive capacity. (25th May 2018)
- Main Title:
- Assessment of hearing aid algorithms using a master hearing aid: the influence of hearing aid experience on the relationship between speech recognition and cognitive capacity
- Authors:
- Rählmann, Sebastian
Meis, Markus
Schulte, Michael
Kießling, Jürgen
Walger, Martin
Meister, Hartmut - Abstract:
- Abstract: Objectives : Model-based hearing aid development considers the assessment of speech recognition using a master hearing aid (MHA). It is known that aided speech recognition in noise is related to cognitive factors such as working memory capacity (WMC). This relationship might be mediated by hearing aid experience (HAE). The aim of this study was to examine the relationship of WMC and speech recognition with a MHA for listeners with different HAE. Design : Using the MHA, unaided and aided 80% speech recognition thresholds in noise were determined. Individual WMC capacity was assed using the Verbal Learning and Memory Test (VLMT) and the Reading Span Test (RST). Study sample : Forty-nine hearing aid users with mild to moderate sensorineural hearing loss divided into three groups differing in HAE. Results : Whereas unaided speech recognition did not show a significant relationship with WMC, a significant correlation could be observed between WMC and aided speech recognition. However, this only applied to listeners with HAE of up to approximately three years, and a consistent weakening of the correlation could be observed with more experience. Conclusions : Speech recognition scores obtained in acute experiments with an MHA are less influenced by individual cognitive capacity when experienced HA users are taken into account.
- Is Part Of:
- International journal of audiology. Volume 57(2018)Supplement 3
- Journal:
- International journal of audiology
- Issue:
- Volume 57(2018)Supplement 3
- Issue Display:
- Volume 57, Issue 3 (2018)
- Year:
- 2018
- Volume:
- 57
- Issue:
- 3
- Issue Sort Value:
- 2018-0057-0003-0000
- Page Start:
- S105
- Page End:
- S111
- Publication Date:
- 2018-05-25
- Subjects:
- Model-based algorithms -- master hearing aid -- speech recognition -- working memory
Audiology -- Periodicals
Hearing disorders -- Periodicals
Deafness -- Prevention -- Periodicals
Hearing Disorders -- Periodicals
Hearing -- Periodicals
617.8 - Journal URLs:
- http://informahealthcare.com/loi/ija ↗
http://www.tandfonline.com/loi/iija20?open=54&repitition=0 ↗
http://informahealthcare.com ↗
http://journalsonline.tandf.co.uk/app/home/journal.asp?wasp=e54fd9ec35a8443595d2fe2a284d67dd&referrer=parent&backto=linkingpublicationresults, 1:112274, 1 ↗ - DOI:
- 10.1080/14992027.2017.1319079 ↗
- Languages:
- English
- ISSNs:
- 1499-2027
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.115000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 6841.xml