Effect of ambient noise reduction on speech recognition and listening effort in noise in MED-EL cochlear implant users.
Objective: This study investigated whether the SONNET 2 audio processor's ambient noise reduction (ANR) algorithm improves speech recognition and listening effort in cochlear implant (CI) users as a function of different noise signals. Design: Speech recognition and listening effort were measured in...
| Publicado en: | International Journal of Audiology Vol. 64; no. 11; pp. 1106 - 1114 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Nov2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=189263020&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 189263020 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14992027 JW2 jtl: International Journal of Audiology issn: 14992027 maglogo: Y pubinfo: dt: Nov2025 vid: 64 iid: 11 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 189263020 184944158 189263020 189263020 10.1080/14992027.2025.2499099 189263020 ppf: 1106 ppct: 8 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Effect of ambient noise reduction on speech recognition and listening effort in noise in MED-EL cochlear implant users. aug: au: Müller, Verena Ukuwait, Amanuel Frößler, Katrin Lang-Roth, Ruth affil: Department of Otorhinolaryngology, Head and Neck Surgery, Cochlear Implant Centre, Medical and University Hospital Cologne, University of Cologne, Germany sug: subj: Persons with Hearing Disabilities Cochlear Implant Noise Prevention and Control Speech Perception Evaluation Listening Effort Evaluation Human Male Female Adult Middle Age Aged Funding Source Germany Speech Discrimination Tests Data Analysis Software Post Hoc Analysis Spearman's Rank Correlation Coefficient Analysis of Variance Acoustic Stimulation Descriptive Statistics Algorithms Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Male Female ab: Objective: This study investigated whether the SONNET 2 audio processor's ambient noise reduction (ANR) algorithm improves speech recognition and listening effort in cochlear implant (CI) users as a function of different noise signals. Design: Speech recognition and listening effort were measured in the presence of four different noise signals, including stationary and fluctuating noise, and including a speech masker. Speech was presented from the front (S0) and noise from two sources from the back (N ± 135). Study sample: 20 adult CI users. Results: With the ANR, speech recognition significantly improved in the presence of one stationary noise and in the presence of one fluctuating noise. The ANR had no significant effect on listening effort. Conclusions: When activating the ANR algorithm of the SONNET 2 audio processor, speech recognition improved in some conditions. Listening effort was equal in all conditions. In corresponding everyday situations, it can be recommended to use the ANR algorithm. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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