// On the Use of Hearing Aid Algorithms in Industrial Noise: Balancing Speech Intelligibility and Hearing Protection
本研究於木工噪音環境測試線性放大、WDRC（寬動態範圍壓縮）、DNR（數位降噪）與壓縮限制｜訊號處理與噪音水準顯著影響語音可懂度與估計噪音暴露；對聽損者，DNR＋WDRC＋壓縮限制在改善可懂度與降低估計暴露間取得最佳平衡｜結果提示工業環境配戴助聽器須謹慎設計與教育，以兼顧溝通效益與噪音防護
// This study tested how common hearing-aid signal-processing strategies affect speech intelligibility and estimated noise exposure in industrial noise to assess communication versus protection trade-offs for workers with hearing loss. Using a real-time digital research platform with in-ear receivers and external microphones, researchers implemented linear amplification, WDRC, digital noise reduction, and compression limiting and ran Hearing-in-Noise Tests (HINT) with normal-hearing and hearing-loss participants in woodworking noise at two levels, collecting subjective ratings and estimating exposure. Signal processing and noise level significantly affected intelligibility and exposure; combining DNR, WDRC, and compression limiting provided the best balance between improved intelligibility and lower estimated exposure for participants with hearing loss. The results highlight a trade-off between auditory benefit and exposure risk and call for careful design and awareness when using hearing devices in industrial settings.
Published 2026年9月7日
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