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仅依靠高频能量的音素分类。

Phoneme categorization relying solely on high-frequency energy.

作者信息

Vitela A Davi, Monson Brian B, Lotto Andrew J

机构信息

Department of Psychology, University of Nevada, Las Vegas, 4505 South Maryland Parkway, Las Vegas, Nevada 89154

Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, Massachusetts 02115

出版信息

J Acoust Soc Am. 2015 Jan;137(1):EL65-70. doi: 10.1121/1.4903917.

DOI:10.1121/1.4903917
PMID:25618101
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4272376/
Abstract

Speech perception studies generally focus on the acoustic information present in the frequency regions below 6 kHz. Recent evidence suggests that there is perceptually relevant information in the higher frequencies, including information affecting speech intelligibility. This experiment examined whether listeners are able to accurately identify a subset of vowels and consonants in CV-context when only high-frequency (above 5 kHz) acoustic information is available (through high-pass filtering and masking of lower frequency energy). The findings reveal that listeners are capable of extracting information from these higher frequency regions to accurately identify certain consonants and vowels.

摘要

语音感知研究通常聚焦于6千赫兹以下频率区域中存在的声学信息。最近的证据表明,在更高频率中存在与感知相关的信息,包括影响语音清晰度的信息。本实验研究了在仅提供高频(5千赫兹以上)声学信息(通过高通滤波和低频能量掩蔽)的情况下,听众是否能够在CV语境中准确识别元音和辅音的一个子集。研究结果表明,听众能够从这些高频区域提取信息,以准确识别某些辅音和元音。

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本文引用的文献

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Detection of high-frequency energy level changes in speech and singing.语音和歌唱中高频能量水平变化的检测。
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