Acoustic correlates of breathy vocal quality: dysphonic voices and continuous speech.

J Hillenbrand, R A Houde
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引用次数: 503

Abstract

In an earlier study, we evaluated the effectiveness of several acoustic measures in predicting breathiness ratings for sustained vowels spoken by nonpathological talkers who were asked to produce nonbreathy, moderately breathy, and very breathy phonation (Hillenbrand, Cleveland, & Erickson, 1994). The purpose of the present study was to extend these results to speakers with laryngeal pathologies and to conduct tests using connected speech in addition to sustained vowels. Breathiness ratings were obtained from a sustained vowel and a 12-word sentence spoken by 20 pathological and 5 nonpathological talkers. Acoustic measures were made of (a) signal periodicity, (b) first harmonic amplitude, and (c) spectral tilt. For the sustained vowels, a frequency domain measure of periodicity provided the most accurate predictions of perceived breathiness, accounting for 92% of the variance in breathiness ratings. The relative amplitude of the first harmonic and two measures of spectral tilt correlated moderately with breathiness ratings. For the sentences, both signal periodicity and spectral tilt provided accurate predictions of breathiness ratings, accounting for 70%-85% of the variance.

呼吸性音质的声学相关性:不发音的声音和连续的讲话。
在早期的一项研究中,我们评估了几种声学测量在预测非病态说话者所讲的持续元音呼吸评级方面的有效性,这些说话者被要求发出无呼吸、中度呼吸和非常呼吸的发音(Hillenbrand, Cleveland, & Erickson, 1994)。本研究的目的是将这些结果扩展到有喉部病变的说话者,并使用连音和持续元音进行测试。研究人员通过20名病理患者和5名非病理患者说出的一个持续的元音和一个12个单词的句子来获得呼吸评分。声学测量包括(a)信号周期,(b)一谐波幅度,(c)频谱倾斜。对于持续元音,周期性的频域测量提供了感知呼吸的最准确预测,占呼吸评级差异的92%。第一谐波的相对振幅和光谱倾斜的两个测量值与呼吸评级适度相关。对于句子,信号周期性和频谱倾斜都提供了呼吸评级的准确预测,占方差的70%-85%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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