Hillenbrand J, Houde R A
Western Michigan University, Kalamazoo, USA.
J Speech Hear Res. 1996 Apr;39(2):311-21. doi: 10.1044/jshr.3902.311.
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.
在一项早期研究中，我们评估了几种声学指标在预测非病理性说话者发出的持续元音的呼吸声评级方面的有效性，这些说话者被要求发出无呼吸声、中度呼吸声和非常呼吸声的发声（希伦布兰德、克利夫兰和埃里克森，1994年）。本研究的目的是将这些结果扩展到患有喉部疾病的说话者，并除了持续元音外还使用连贯语音进行测试。从20名病理性说话者和5名非病理性说话者发出的持续元音和一个12个单词的句子中获得呼吸声评级。声学指标包括：（a）信号周期性；（b）基波振幅；（c）频谱倾斜度。对于持续元音，周期性的频域指标对感知到的呼吸声提供了最准确的预测，解释了呼吸声评级中92%的方差。基波的相对振幅和频谱倾斜度的两个指标与呼吸声评级中度相关。对于句子，信号周期性和频谱倾斜度都对呼吸声评级提供了准确的预测，解释了70%-85%的方差。
