荷蘭語數字噪音測驗之頻帶重要性函數：基於人類與自動語音辨識資料的計算推導（含擴展高頻範圍）

// The band importance function for the Dutch digits-in-noise test: A computational derivation using human and automatic speech recognition data, including extended high frequencies

建立荷蘭語DIN BIF，20名年輕正常聽力者測得｜高頻影響更大，EHF約占9%資訊；新BIF比SPIN更能預測辨識閾值，計分法影響小，ASR(Whisper、FADE)衍生BIF與人類不符｜凸顯EHF與高頻在臨床評估的重要性。

// This study derived the band importance function (BIF) for the Dutch digits-in-noise (DIN) test. Twenty young normal-hearing adults completed DIN triplet recognition across multiple SNRs with one-third-octave filtered signals, and the BIF was computed using Kates (2013) with digit and triplet scoring; ASR systems (Whisper, FADE) were used for comparison and extended high frequencies (EHFs) were included. The Dutch DIN BIF substantially differs from existing BIFs, with greater contribution from high frequencies and about 9% of information in the EHFs. The new BIF better predicted DIN speech recognition thresholds than the SPIN BIF, scoring method had minor effects, and ASR-derived BIFs did not match human-derived BIFs.

Published 2026年8月31日