West Chester University, Department of Communication Sciences and Disorders, West Chester, Pennsylvania.
Massachuetts General Hospital Institute of Health Professions, Speech-Language Pathology Master's Program, Boston, Massachusetts.
J Voice. 2023 Jan;37(1):17-25. doi: 10.1016/j.jvoice.2020.12.003. Epub 2020 Dec 29.
The purpose of the study was to assess acoustic measures of fundamental frequency (f), standard deviation of f (SD of f), jitter%, shimmer%, noise-to-harmonic ratio (NHR), smoothed cepstral peak prominence (CPPS), and acoustic voice quality index analyzed through multiple Praat versions automatically by VoiceEvalU8 or manually by two raters. In addition, default settings to calculate CPPS in two Praat versions manually analyzed by two raters were compared to Maryn and Weenik procedures for CPPS automatically analyzed by VoiceEvalU8.
Nineteen vocally healthy females used VoiceEvalU8 to record three 5-s sustained /a/ trials, the all voiced phrase "we were away a year ago," and a 15-s speech sample twice a day for five consecutive days. Two raters manually completed acoustic analysis using different versions of Praat and compared that analysis to measures automatically generated through a version of Praat used by VoiceEvalU8. One-way analyses of variance were run for all acoustic measures with post-hoc testing by the Bonferroni method. For acoustic measures that demonstrated significant differences, intraclass correlation coefficients were conducted.
Results showed no significant differences across automatic and manual analysis for different versions of Praat for all acoustic measures during /a/, for f, jitter%, shimmer%, and NHR during the phrase, for jitter%, shimmer%, NHR, and CPPS during speech, and for acoustic voice quality index calculated from both sustained /a/ and the phrase. The default Praat settings for CPPS were not significantly different from the Maryn and Weenik procedures for sustained /a/ and speech. Significant differences were present for SD of f and CPPS during the phrase and f and SD of f during speech. SD of f and CPPS in the phrase were moderately correlated and f and SD of f during speech demonstrated good to excellent correlations across the different versions of Praat.
Acoustic measures analyzed through sustained /a/ and some of the acoustic measures during the phrase and speech were not different across multiple versions of Praat. Automatic analysis by VoiceEvalU8 produced similar mean values as compared to manual analysis by two raters. Even though SD of f and CPPS in the phrase and f and SD of f in speech were different across the versions of Praat, the measures demonstrated moderate to excellent reliability.
本研究的目的是评估基频（f）、f 的标准差（SD of f）、抖动%、颤抖%、噪声与谐波比（NHR）、平滑语谱峰突出度（CPPS）和声学语音质量指数等声学参数，这些参数通过多个 Praat 版本自动分析，或由两名评估员手动分析。此外，还比较了两种 Praat 版本的默认 CPPS 设置，这两种设置分别由两名评估员手动分析，与 Maryn 和 Weenik 程序自动分析 VoiceEvalU8 中的 CPPS 进行了比较。
19 名女性语音正常者使用 VoiceEvalU8 录制了 3 个 5 秒持续/a/音、一个全元音短语“we were away a year ago”以及 15 秒连续 5 天每天两次的演讲样本。两名评估员使用不同版本的 Praat 手动完成声学分析，并将分析结果与通过 VoiceEvalU8 使用的 Praat 版本自动生成的测量值进行比较。对所有声学测量值进行单因素方差分析，并采用 Bonferroni 法进行事后检验。对于表现出显著差异的声学测量值，进行了组内相关系数分析。
在/a/期间、短语期间的 f、抖动%、颤抖%和 NHR、演讲期间的抖动%、颤抖%、NHR、CPPS 以及由持续/a/和短语计算的语音质量指数，不同版本的 Praat 进行自动和手动分析时，所有声学测量值均无显著差异。在持续/a/和演讲时，Praat 的默认 CPPS 设置与 Maryn 和 Weenik 程序无显著差异。在短语时的 SD of f 和 CPPS 以及演讲时的 f 和 SD of f 存在显著差异。短语时的 SD of f 和 CPPS 中度相关，演讲时的 f 和 SD of f 跨不同 Praat 版本表现出良好到极好的相关性。
通过持续/a/和一些短语和演讲期间的声学测量值，在多个 Praat 版本之间没有差异。VoiceEvalU8 的自动分析与两名评估员的手动分析产生的平均值相似。尽管短语时的 SD of f 和 CPPS 以及演讲时的 f 和 SD of f 在版本之间存在差异，但这些测量值表现出中等至极好的可靠性。
