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两个声学分析程序的谐波峰值突出度测量比较

A Comparison of Cepstral Peak Prominence Measures From Two Acoustic Analysis Programs.

作者信息

Watts Christopher R, Awan Shaheen N, Maryn Youri

机构信息

Texas Christian University, Fort Worth, Texas.

Bloomsburg University, Bloomsburg, Pennsylvania.

出版信息

J Voice. 2017 May;31(3):387.e1-387.e10. doi: 10.1016/j.jvoice.2016.09.012. Epub 2016 Oct 15.

DOI:10.1016/j.jvoice.2016.09.012
PMID:27751661
Abstract

PURPOSE

This study aimed to investigate the relationship and reliability of cepstral peak prominence (CPP) measures from two acoustic software applications, Analysis of Dysphonia in Speech and Voice (ADSV) and Praat.

METHODOLOGY

Flemish and English recordings of sustained vowels and connected speech samples were analyzed using ADSV and Praat. Correlational analyses and measures of the standard error of the estimate were applied to the vowel and connected speech data obtained from the two programs.

RESULTS

Analyses revealed very strong relationships (eg, r > 0.88) between CPP measures derived from ADSV and those derived from Praat, regardless of context (vowel or connected speech) or language spoken. Average residual errors ranged from 0.55 to 1.1 dB for the prediction of Praat CPP data from actual observed ADSV CPP data, and average residual errors ranged from 0.57 to 1.58 dB for the prediction of ADSV CPP data from actual observed Praat CPP data.

CONCLUSIONS

Measurements of CPP derived from ADSV and Praat manifested strong parallel-forms reliability. Although CPP data values obtained via these programs will be different owing to algorithmic processing differences, this study found that estimated CPP values derived using regression equations could be transformed between programs with relatively small predictive error, regardless of language. The strong measurement relationships indicate that CPP values from either program have a high degree of shared variance and may be expected to differentiate across a wide range of voice signal periodicity in a relatively similar fashion. This finding supports the use of either program in clinical use and voice science research.

摘要

目的

本研究旨在调查两种声学软件应用程序,即语音和嗓音障碍分析(ADSV)及Praat中谐波峰值突出度(CPP)测量值之间的关系和可靠性。

方法

使用ADSV和Praat对佛兰芒语和英语的持续元音及连贯语音样本录音进行分析。对从这两个程序获得的元音和连贯语音数据进行相关性分析及估计标准误差测量。

结果

分析显示,无论语境(元音或连贯语音)或所讲语言如何,ADSV得出的CPP测量值与Praat得出的CPP测量值之间存在非常强的相关性(例如,r>0.88)。根据实际观察到的ADSV CPP数据预测Praat CPP数据时,平均残差误差范围为0.55至1.1分贝;根据实际观察到的Praat CPP数据预测ADSV CPP数据时,平均残差误差范围为0.57至1.58分贝。

结论

ADSV和Praat得出的CPP测量值表现出很强的平行形式可靠性。尽管由于算法处理差异,通过这些程序获得的CPP数据值会有所不同,但本研究发现,使用回归方程得出的估计CPP值在不同程序之间转换时预测误差相对较小,且与语言无关。这种很强的测量关系表明,任一程序的CPP值都有很大程度的共同方差,并且有望以相对相似的方式在广泛的语音信号周期性中进行区分。这一发现支持在临床应用和语音科学研究中使用任一程序。

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