頻譜時間調變敏感度可前瞻性預測人工耳蝸使用者在噪音中語音辨識能力

// Spectro-Temporal Modulation Sensitivity Prospectively Predicts Speech-in-Noise Recognition in Cochlear Implant Users

本研究探討光譜-時間敏感度對人工耳蝸植入後語音辨識的預測能力｜利用自適應頻譜波紋辨識測試，發現時間波紋辨識閾值能準確預測植入一年後的噪音中語音理解｜該測試效果優於傳統語音評估及年齡因素，提供臨床早期判斷語音成功率的簡便工具。

// This study examined if spectro-temporal sensitivity predicts speech recognition after cochlear implantation. Using an adaptive ripple discrimination test shortly after implantation, researchers found temporal ripple discrimination thresholds predicted speech-in-noise recognition one year later. This method outperformed traditional speech tests and age in predicting outcomes. The ripple test provides a simple, efficient clinical tool for early prediction of speech success post-implantation.

Published 2026年8月19日