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Recognition of Low-or High-pass Filtered Korean Monosyllables and Sentences Seongeun Hwang, Hyunsook Jang, Jeeyeon Lee, and Yukyoung Kim-Lee Department of Audiology, Graduate School, Hallym University, Chuncheon, Korea Division of Speech Pathology and Audiology, Audiology & Speech Pathology Research Institute, Hallym University, Chuncheon, Korea Filtered speech can cause significant speech-recognition difficulties in hearing–impaired and CAPD patients. This study measured recognition performance for lowand high-passed filtered monosyllables and sentences, to be included in assessing peripheral or central auditory function. Two lists of Korean monosyllables (H-lists and KS-MW-lists) were filtered at each of five low-pass cutoffs (500, 800, 1,200, 1,500, or 1,700 Hz) or each of five high-pass cutoffs (1,700, 2,100, 2,500, 3,000, or 4,000 Hz). The Korean Standard-Sentence Lists-Adult was filtered at each of seven low-pass cutoffs (250, 350, 500, 800, 1,200, 1,500, or 1,700 Hz) or each of six high-pass cutoffs (1,700, 2,100, 2,500, 3,000, 4,000, or 6,000 Hz). Word and sentence recognition tests were studied in 20 adults, ages of 20~27 (mean=22.7), having normal hearing sensitivity. The results showed: first, with filtered monosyllables, percent-correct recognition decreased significantly by lowering the cutoff frequency in low-pass conditions or raising the cutoff in high-pass conditions. There were no significant recognition-performance differences between H list and KS lists in both lowand high-pass conditions, except at 500 Hz and 800 Hz low-pass cutoffs conditions; the cross frequencies of H list and KS list were 1,531 Hz (78.95%) and 1,516 Hz (76.08%), respectively. Second, recognition of low-pass filtered sentences decreased significantly (from 100% to 6.00%) by lowering the cutoff from 1,200 Hz to 250 Hz. Recognition of high-pass filtered sentences decreased significantly (from 100% to 27.15%) by raising the cutoff from 2,500 Hz to 6,000 Hz. Third, comparing filtered-word to the filtered-sentence recognition performance, showed higher accuracy with sentences than with words, probably because of increased sentence redundancy. The results showed that frequency cutoff and type of speech material affect recognition of filtered speech. For words and sentences, these lowand high-pass cutoffs parameters could be relevant in the evaluation of peripheral and central auditory function.