Cargando…
Objective Prediction of Hearing Aid Benefit Across Listener Groups Using Machine Learning: Speech Recognition Performance With Binaural Noise-Reduction Algorithms
The simulation framework for auditory discrimination experiments (FADE) was adopted and validated to predict the individual speech-in-noise recognition performance of listeners with normal and impaired hearing with and without a given hearing-aid algorithm. FADE uses a simple automatic speech recogn...
Autores principales: | Schädler, Marc R., Warzybok, Anna, Kollmeier, Birger |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5949929/ https://www.ncbi.nlm.nih.gov/pubmed/29692200 http://dx.doi.org/10.1177/2331216518768954 |
Ejemplares similares
-
Individual Aided Speech-Recognition Performance and Predictions of Benefit for Listeners With Impaired Hearing Employing FADE
por: Schädler, Marc R., et al.
Publicado: (2020) -
Sentence Recognition Prediction for Hearing-impaired Listeners in Stationary and Fluctuation Noise With FADE: Empowering the Attenuation and Distortion Concept by Plomp With a Quantitative Processing Model
por: Kollmeier, Birger, et al.
Publicado: (2016) -
Spatio-temporal Integration of Speech Reflections in Hearing-Impaired Listeners
por: Rennies, Jan, et al.
Publicado: (2022) -
Measurement and Prediction of Binaural-Temporal Integration of Speech Reflections
por: Rennies, Jan, et al.
Publicado: (2019) -
Comparing Binaural Pre-processing Strategies III: Speech Intelligibility of Normal-Hearing and Hearing-Impaired Listeners
por: Völker, Christoph, et al.
Publicado: (2015)