Evaluating Real-World Benefits of Hearing Aids With Deep Neural Network--Based Noise Reduction: An Ecological Momentary Assessment Study.
Purpose: Noise reduction technologies in hearing aids provide benefits under controlled conditions. However, differences in their real-life effectiveness are not established. We propose that a deep neural network (DNN)--based noise reduction system trained on naturalistic sound environments will pro...
| Publicado en: | American Journal of Audiology Vol. 33; no. 1; pp. 242 - 254 |
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| Autores principales: | , , , , , |
| Formato: | research tables/charts randomized controlled trial Journal Article |
| Publicado: |
American Speech-Language-Hearing Association
Mar2024
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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=175835752&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 175835752 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10590889 5KS jtl: American Journal of Audiology issn: 10590889 maglogo: N pubinfo: dt: Mar2024 vid: 33 iid: 1 pid: 42 pub: American Speech-Language-Hearing Association place: Rockville, Maryland artinfo: ui: 175835752 175835752 175835752 10.1044/2023_AJA-23-00149 175835752 ppf: 242 ppct: 12 formats: fmt: @attributes: type: P tig: atl: Evaluating Real-World Benefits of Hearing Aids With Deep Neural Network--Based Noise Reduction: An Ecological Momentary Assessment Study. aug: au: Christensen, Jeppe Høy Whiston, Helen Lough, Melanie Gil-Carvajal, Juan Camilo Rumley, Johanne Saunders, Gabrielle H. affil: Eriksholm Research Centre, Oticon A/S, Snekkersten, Denmark sug: subj: Hearing Aids Equipment Design Neural Networks (Computer) Hearing Loss, Sensorineural Rehabilitation Noise Prevention and Control Listening Evaluation Treatment Outcomes Environment Human Ecological Research Funding Source Crossover Design Randomized Controlled Trials Random Assignment Comparative Studies Adult Middle Age Aged Aged, 80 and Over Male Female Effect Size Data Analysis Software Descriptive Statistics Self Report Analysis of Variance Chi Square Test Correlation Coefficient Patient Satisfaction Confidence Intervals Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over Male Female ab: Purpose: Noise reduction technologies in hearing aids provide benefits under controlled conditions. However, differences in their real-life effectiveness are not established. We propose that a deep neural network (DNN)--based noise reduction system trained on naturalistic sound environments will provide different real-life benefits compared to traditional systems. Method: Real-life listening experiences collected with Ecological Momentary Assessments (EMAs) of participants who used two premium models of hearing aid are compared. One hearing aid model (HA1) used traditional noise reduction; the other hearing aid model (HA2) used DNN-based noise reduction. Participants reported listening experiences several times a day while ambient SPL, SNR, and hearing aid volume adjustments were recorded. Forty experienced hearing aid users completed a total of 3,614 EMAs and recorded 6,812 hr of sound data across two 14-day wear periods. Results: Linear mixed-effects analysis document that participants' assessments of ambient noisiness were positively associated with SPL and negatively associated with SNR but are not otherwise affected by hearing aid model. Likewise, mean satisfaction with the two models did not differ. However, individual satisfaction ratings for HA1 were dependent on ambient SNR, which was not the case for HA2. Conclusions: Hearing aids with DNN-based noise reduction resulted in consistent sound satisfaction regardless of the level of background noise compared to hearing aids implementing noise reduction based on traditional statistical models. While the two hearing aid models also differed on other parameters (e.g., shape), these differences are unlikely to explain the difference in how background noise impacts sound satisfaction with the aids. pubtype: Academic Journal doctype: research tables/charts randomized controlled trial Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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