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通过频谱噪声水平测量识别正常和异常粗糙元音。

Identification of normal and abnormally rough vowels by spectral noise level measurements.

作者信息

Emanuel F W, Austin D

出版信息

J Commun Disord. 1981 Jan;14(1):75-85. doi: 10.1016/0021-9924(81)90049-6.

DOI:10.1016/0021-9924(81)90049-6
PMID:7217352
Abstract

Our goal in this study was to learn whether vowel spectral noise level (SNL) measurements might differentiate between normal and abnormally rough test vowel samples. The vowel samples studied were obtained originally for two previous investigations. In one study, 20 normal-speaking subjects phonated in isolation each of five test vowels both normally and with simulated abnormal vocal roughness. In the other, 20 subjects who individually presented a laryngeal pathology phonated each of the same test vowels in isolation. The 300 test samples available from the two studies were obtained at one intensity and mouth-to-microphone distance (75 dB SPL at 15 cm). From the original studies, narrow-band (3-Hz) acoustic spectra of the vowel samples and SNL measurements were available. For this study, a mean of 25 noise level measurements per vowel sample served as an SNL index for each test production. Additionally, for this study, the test samples were individually classified dichotomously as normal or as abnormally rough in quality by a panel of nine listeners. Data analysis resulted in the identification of an SNL mean value (termed the SNL "criterion") that appeared to differentiate effectively between the perceptually normal and abnormally rough samples of each test vowel. In general, the findings appeared to support the hypothesis that vowel SNL measurements could be used to identify normal and abnormally rough vowel samples.

摘要

本研究的目的是了解元音频谱噪声水平(SNL)测量是否能够区分正常和异常粗糙的测试元音样本。所研究的元音样本最初是为之前的两项调查获取的。在一项研究中,20名正常发声的受试者分别以正常状态和模拟的异常嗓音粗糙度发出五个测试元音中的每一个。在另一项研究中,20名患有喉部疾病的受试者分别单独发出相同的测试元音。两项研究中可获得的300个测试样本是在一个强度和嘴到麦克风的距离(15厘米处75分贝声压级)下获取的。从最初的研究中,可以得到元音样本的窄带(3赫兹)声谱和SNL测量值。在本研究中,每个元音样本平均25次噪声水平测量作为每次测试发音的SNL指标。此外,在本研究中,由九名听众组成的小组将测试样本按质量二分法分别归类为正常或异常粗糙。数据分析得出了一个SNL平均值(称为SNL“标准”),该值似乎能有效区分每个测试元音在感知上正常和异常粗糙的样本。总体而言,研究结果似乎支持这样的假设,即元音SNL测量可用于识别正常和异常粗糙的元音样本。

相似文献

1
Identification of normal and abnormally rough vowels by spectral noise level measurements.通过频谱噪声水平测量识别正常和异常粗糙元音。
J Commun Disord. 1981 Jan;14(1):75-85. doi: 10.1016/0021-9924(81)90049-6.
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