Parsa V, Jamieson D G
National Center for Audiology, The University of Western Ontario, London, Canada.
J Speech Lang Hear Res. 2000 Apr;43(2):469-85. doi: 10.1044/jslhr.4302.469.
We investigated the abilities of four fundamental frequency (F0)-dependent and two F0-independent measures to quantify vocal noise. Two of the F0-dependent measures were computed in the time domain, and two were computed using spectral information from the vowel. The F0-independent measures were based on the linear prediction (LP) modeling of vowel samples. Tests using a database of sustained vowel samples, collected from 53 normal and 175 pathological talkers, showed that measures based on the LP model were much superior to the other measures. A classification rate of 96.5% was achieved by a parameter that quantifies the spectral flatness of the unmodeled component of the vowel sample.
我们研究了四种与基频（F0）相关以及两种与F0无关的测量方法量化嗓音噪声的能力。其中两种与F0相关的测量方法是在时域中计算得出的，另外两种则利用元音的频谱信息进行计算。与F0无关的测量方法基于元音样本的线性预测（LP）建模。使用从53名正常发声者和175名病态发声者收集的持续元音样本数据库进行的测试表明，基于LP模型的测量方法比其他方法优越得多。通过对元音样本未建模成分的频谱平坦度进行量化的一个参数，实现了96.5%的分类率。
