Accuracy of Acoustic Voice Quality Index and Its Isolated Acoustic Measures to Discriminate the Severity of Voice Disorders
Accuracy of Acoustic Voice Quality Index and Its Isolated Acoustic Measures to Discriminate the Severity of Voice Disorders
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DOI：
10.1016/j.jvoice.2020.08.010
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发表时间：
2022-07-03
期刊：
影响因子：
2.2
通讯作者：
Behlau, Mara
中科院分区：
文献类型：
--
作者：
Englert, Marina;Lopes, Leonardo;Behlau, Mara
客观的。评估声学语音质量指数（AVQI）及其孤立声学测量在区分不同偏差程度语音方面的准确性。方法。 258 个声音样本（160 个声音困难；98 个声音健康）。考虑了有关声学分析和总体偏差度 (G) 的信息。声学分析包括 AVQI 总分及其孤立的声学测量：平滑倒谱峰值突出度 (CPP)；谐波噪声比（HNR）；闪烁局部和 dB（Shim、ShdB）；频谱的一般斜率 (Slope) 和穿过频谱的回归线的倾斜度 (Tilt)。听觉感知判断是五位声音专家的 G 分数中位数（Cohen = 0.605-0.773；Fleiss = 0.370）。使用二次判别分析和绩效测量的准确性、敏感性和特异性来研究这些测量的判别力。结果。 AVQI 在区分无声音偏差和有声音偏差的声音（73.9%）以及偏差程度（轻度与中度 = 70.49%；轻度与中度 = 71.39%；中度与重度 = 87.5%）方面表现出可接受的准确性。没有任何孤立的声学测量结果能够与区分所有偏差程度的语音质量相一致。五种声学测量（CPP、HNR、ShdB、斜率、倾斜）的组合在区分健康声音和偏差声音方面具有最高的准确度 (75.55%)。 Shimmer 能够更准确地区分轻度、中度和重度偏差的声音；几乎所有孤立的声学测量都可以准确地区分具有中度和严重偏差的声音。声学测量的组合表现出更高的准确性（轻度与中度= 70.21％-74.29％；轻度与中度= 71.53％-76.11％；中度与重度= 86％-95.50％）。结论。 AVQI 是一种公认的区分不同程度声音偏差的工具，并且可以更准确地区分中度和严重偏差的声音。在区分偏差程度较高的声音时，隔离声学测量效果更好。相同权重的声学参数组合对于区分不同程度的偏差更准确，但并不一致。
Objective. To evaluate the Acoustic Voice Quality Index (AVQI) and its isolated acoustic measures accuracy in discriminating voices with different degrees of deviation.Methods. Two hundred and fifty-eight voice samples (160 dysphonic; 98 vocally healthy). Information regarding acoustic analysis and overall degree of deviation (G) were considered. The acoustic analysis consisted of the AVQI total score and its isolated acoustic measures: smoothed cepstral peak prominence (CPPs); harmonic-tonoise ratio (HNR); shimmer local and dB (Shim, ShdB); the general slope of the spectrum (Slope) and tilt of the regression line through the spectrum (Tilt). The auditory-perceptual judgment was the median G score of five voice specialists (Cohen's = 0.605-0.773; Fleiss = 0.370). Quadratic discriminant analysis and accuracy, sensitivity, and specificity of performance measures were used to investigate the discriminatory power of these measures.Results. AVQI presented acceptable accuracy to differentiate voices with no vocal deviation and with vocal deviation (73.9%) and among the degrees of deviation (mild vs. moderate = 70.49%; mild vs. moderate = 71.39%; moderate vs. severe = 87.5%). No isolated acoustic measurement was consistent with differentiating voice quality among all degrees of deviation. A combination of five acoustic measures (CPPs, HNR, ShdB, Slope, Tilt) had the highest accuracy to differentiate between healthy and deviated voice (75.55%). Shimmer was more accurate to discriminate between voices with mild, moderate, and severe deviation; almost all isolated acoustic measurements were accurate to discriminate voices with moderate and severe deviation. The combination of acoustic measures presented higher accuracy (mild vs. moderate = 70.21%-74.29%; mild vs. moderate = 71.53% -76.11%; moderate vs. severe = 86%-95.50%).Conclusion. AVQI is an accepted tool to discriminate among different degrees of vocal deviation, and more accurate between voices with moderate and severe deviations. Isolated acoustic measures perform better when discriminating voices with a higher degree of deviation. A combination of acoustic parameters, with the same weight, is more accurate to discriminate different degrees of deviation, however, not consistent.