// Audiometric detection thresholds for older adults with normal and impaired hearing predict recognition of spectrally and temporally degraded speech in speech-modulated noise
本研究探討老年人在正常或受損聽力下，聽閾與噪音中破音語音辨識的關係｜發現低頻（1 kHz以下）聽閾是預測語音辨識能力的關鍵因子，尤其對高頻聽損者影響顯著｜強調低頻聲音線索對老年人在時變噪音環境下理解語音的重要性。
// This study investigated how audiometric detection thresholds relate to recognition of degraded speech in noise among older adults with normal or impaired hearing. Using spectrally shaped speech stimuli and ESTOI-based measures, the research found that low-frequency (below 1 kHz) detection thresholds were the strongest predictors of speech recognition ability in noise. The effect varied with the type of speech distortion, especially for older adults with high-frequency hearing loss. The results highlight the importance of low-frequency cues for understanding speech in temporally modulated noisy environments in older listeners.
Published 2026年7月7日
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