Heman-Ackah Yolanda D, Michael Deirdre D, Goding George S
Department of Otolaryngology-Head and Neck Surgery, University of Illinois-Chicago, 60612, USA.
J Voice. 2002 Mar;16(1):20-7. doi: 10.1016/s0892-1997(02)00067-x.
Traditional measures of dysphonia vary in their reliability and in their correlations with perceptions of grade. Measurements of cepstral peak prominence (CPP) have been shown to correlate well with perceptions of breathiness. Because it is a measure of periodicity, CPP should also predict roughness. The ability of CPP and other acoustic measures to predict overall dysphonia and the subcategories of breathiness and roughness in pathological voice samples is explored. Preoperative and postoperative speech samples from 19 patients with unilateral recurrent laryngeal nerve paralysis who underwent operative intervention were analyzed by trained listeners and by measures of smoothed CPP (CPPS), noise-to-harmonic ratio (NHR), amplitude perturbation quotient (APQ), relative average perturbation (RAP), and smoothed pitch perturbation quotient (sPPQ). The data were analyzed with bivariate Pearson correlation statistics. Grade of dysphonia and breathiness ratings correlated better with measurements of CPPS than with the other measures. CPPS from samples of connected speech (CPPS-s) best predicted overall dysphonia. None of the measures were useful in predicting roughness.
传统的发声障碍测量方法在可靠性以及与等级认知的相关性方面存在差异。研究表明,谐波峰值突出度(CPP)测量与呼吸音的认知具有良好的相关性。由于CPP是一种周期性测量方法,它也应该能够预测粗糙音。本研究探讨了CPP和其他声学测量方法预测病理性嗓音样本中总体发声障碍以及呼吸音和粗糙音子类别的能力。对19例接受手术干预的单侧喉返神经麻痹患者的术前和术后语音样本,由经过训练的听众以及通过平滑CPP(CPPS)、噪声与谐波比(NHR)、幅度扰动商(APQ)、相对平均扰动(RAP)和平滑基频微扰商(sPPQ)测量进行分析。数据采用双变量Pearson相关统计分析。发声障碍等级和呼吸音评分与CPPS测量的相关性比与其他测量方法更好。连贯语音样本的CPPS(CPPS-s)最能预测总体发声障碍。没有一种测量方法可用于预测粗糙音。