کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7320643 | 1475587 | 2015 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A music perception disorder (congenital amusia) influences speech comprehension
ترجمه فارسی عنوان
اختلال ادراک موسیقی (آموسسیا مادرزادی) بر روی گفتار درک شده تاثیر می گذارد
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کلمات کلیدی
آمیسیا مادرزادی، درک گفتاری، ادراک موسیقی، گام صدا، بخش، سر و صدا،
موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
علوم اعصاب رفتاری
چکیده انگلیسی
This study investigated the underlying link between speech and music by examining whether and to what extent congenital amusia, a musical disorder characterized by degraded pitch processing, would impact spoken sentence comprehension for speakers of Mandarin, a tone language. Sixteen Mandarin-speaking amusics and 16 matched controls were tested on the intelligibility of news-like Mandarin sentences with natural and flat fundamental frequency (F0) contours (created via speech resynthesis) under four signal-to-noise (SNR) conditions (no noise, +5, 0, and â5Â dB SNR). While speech intelligibility in quiet and extremely noisy conditions (SNR=â5Â dB) was not significantly compromised by flattened F0, both amusic and control groups achieved better performance with natural-F0 sentences than flat-F0 sentences under moderately noisy conditions (SNR=+5 and 0Â dB). Relative to normal listeners, amusics demonstrated reduced speech intelligibility in both quiet and noise, regardless of whether the F0 contours of the sentences were natural or flattened. This deficit in speech intelligibility was not associated with impaired pitch perception in amusia. These findings provide evidence for impaired speech comprehension in congenital amusia, suggesting that the deficit of amusics extends beyond pitch processing and includes segmental processing.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neuropsychologia - Volume 66, January 2015, Pages 111-118
Journal: Neuropsychologia - Volume 66, January 2015, Pages 111-118
نویسندگان
Fang Liu, Cunmei Jiang, Bei Wang, Yi Xu, Aniruddh D. Patel,