Haskins Laboratories, 300 George Street, New Haven, Connecticut 06511,
J Acoust Soc Am. 2019 May;145(5):EL360. doi: 10.1121/1.5103195.
Many developmental studies attribute reduction of acoustic variability to increasing motor control. However, linear prediction-based formant measurements are known to be biased toward the nearest harmonic of F0, especially at high F0s. Thus, the amount of reported formant variability generated by changes in F0 is unknown. Here, 470 000 vowels were synthesized, mimicking statistics reported in four developmental studies, to estimate the proportion of formant variability that can be attributed to F0 bias, as well as other formant measurement errors. Results showed that the F0-induced formant measurements errors are large and systematic, and cannot be eliminated by a large sample size.
许多发展研究将可听变异性的减少归因于运动控制的增强。然而,基于线性预测的共振峰测量已知偏向于 F0 的最近谐波,尤其是在高 F0 时。因此,由 F0 变化产生的共振峰可变性的量是未知的。在这里,合成了 470000 个元音,模拟了四项发展研究报告的统计数据,以估计可以归因于 F0 偏差以及其他共振峰测量误差的共振峰可变性比例。结果表明,F0 引起的共振峰测量误差较大且具有系统性,并且不能通过大样本量来消除。