Evaluating a Deep Neural Noise-Reduction Algorithm for Hearing Aids

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This study is designed to understand how different hearing-aid noise-reduction technologies affect a listener's ability to hear speech in noisy environments. Participants will listen to speech at several background-noise levels while trying different processing settings. By comparing performance across these conditions, the study aims to identify which types of noise reduction improve speech intelligibility the most. We expect that some noise-reduction strategies will help listeners understand speech better than others, especially in more difficult listening situations.

A vizsgálat 2 csoportja

• Hearing Aid Noise-Reduction ProcessingA vizsgált kezelés

  Participants complete all noise-reduction conditions (Off, Low, High) at all tested signal-to-noise ratios in a within-subject crossover design.

  Kezelés: Hearing Aid Noise Reduction - Off, Hearing Aid Noise Reduction - Low és Hearing Aid Noise Reduction - High

• Signal-to-Noise RatioA vizsgált kezelés

  Relative speech and noise levels

  Kezelés: Negative SNR, Zero signal-to-noise ratio és Positive SNR