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Characteristics of hoarse, rough and normal voices: acoustic spectrographic comparative analysis

机译:声音嘶哑,粗糙和正常的特征:声谱比较分析

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摘要

Introduction: Vocal quality can be assessed by auditory perceptual and acoustic methods. The terms used to describe vocal quality aren t standardized. However, two of them deserve special attention regarding the parameters that distinguish roughness and hoarseness, both usually called as hoarseness in the literature. Aim: To evaluate comparatively and to define basic differences among hoarse, rough and normal voices using acoustic spectrography. Study Design: Prospective clinical randomized. Material and Method: Six hoarse, six rough and six normal voices sorted by auditory perceptual evaluation, and analyzed by spectrography under five parameters: fundamental frequency (f0), extension of harmonics, definition of harmonics, presence of noise between the harmonics and up them. Results: Hoarse voices presented lower f0, whereas rough voices showed higher f0 in comparison to normal voices. Considering the spectrogram from 0 to 5,4 kHz, the mean value of the uppermost harmonic frequency reached 4.555 Hz for normal voices, 2.125 Hz for rough voices and 1.147 Hz for hoarse voices. Harmonic tracing in hoarse voices showed worse definition and greater amount of noise among and up the harmonics. Conclusions: There are striking spectrographic differences among hoarse, rough and normal voices. Harmonics are present in greater amount and show better definition in normal voices, and decrease in amount in rough and hoarse voices respectively. Inversely, noise appears in great amount and in a diffuse way in hoarse voices and in smaller amount in rough and normal voices.
机译:简介:声音质量可以通过听觉感知和听觉方法进行评估。用于描述声音质量的术语尚未标准化。但是,在区分粗糙度和声音嘶哑的参数上,其中两个值得特别注意,在文献中通常都将其称为声音嘶哑。目的:进行比较评估,并使用声谱技术定义嘶哑,粗糙和正常声音之间的基本差异。研究设计:前瞻性临床随机分组。材料和方法:通过听觉感知评估分类为六个声音嘶哑,六个粗糙声音和六个正常声音,并通过光谱法在五个参数下进行分析:基本频率(f0),谐波扩展,谐波的定义,谐波之间存在噪声以及它们之间的噪声。结果:与正常声音相比,声音嘶哑呈现较低的f0,而粗糙声音呈现较高的f0。考虑从0到5.4 kHz的频谱图,正常声音的最高谐波频率的平均值达到4.555 Hz,粗糙声音的最高谐波频率的平均值达到2.125 Hz,而声音嘶哑的最高谐波频率的平均值达到1.147 Hz。嘶哑的声音中的谐波跟踪显示出较差的清晰度,并且谐波之间以及谐波之间的噪声量更大。结论:声音嘶哑,粗糙和正常声音之间存在明显的光谱差异。谐波的数量较多,在普通声音中显示较好的清晰度,而在粗糙和嘶哑的声音中则分别减少。相反地​​,在嘶哑的声音中大量出现并且以分散的方式出现噪声,而在粗糙和正常的声音中少量出现。

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