Usefulness of Direct Magnitude Estimation (DME) and Acoustic Analysis in Measuring Dysphonia Severity.

IF 2.5 4区 医学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY Journal of Voice Pub Date : 2024-08-22 DOI:10.1016/j.jvoice.2024.07.014
Yeon Woo Lee, Geun Hyo Kim
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Abstract

Objectives: The purposes of this study were (1) to analyze the reliability of direct magnitude estimation (DME) in auditory perceptual assessments measuring dysphonia severity and (2) to analyze the relationship between DME and four acoustic parameters (cepstral peak prominence [CPP], cepstral peak prominence-smoothed [CPPs], Acoustic Voice Quality Index [AVQI], and Acoustic Breathiness Index [ABI]) and (3) to predict dysphonia severity based on DME using four acoustic parameters.

Study design: One hundred and sixty-one voice samples for dysphonia patients were used. In this study, we combined sustained vowel samples and connected speech samples using the Praat software to make the concatenated samples for implementing acoustic analysis and auditory perceptual assessments. For acoustic analysis, we analyzed each value of CPP, CPPs, AVQI, and ABI. For auditory perceptual assessments, three speech-language pathologists evaluated dysphonia severity from the concatenated samples. Finally, we performed a stepwise multiple regression analysis to verify which combination of the four acoustic parameters could best predict perceived dysphonia severity based on the DME.

Results: DME was found to have high reliability for auditory perceptual assessments measuring dysphonia severity, and there was a significant correlation between DME and four acoustic parameters. Finally, a two-variable model (AVQI and ABI) was useful for predicting perceived dysphonia severity based on the DME.

Conclusions: We verified the usefulness of DME scales in judging the dysphonia severity of dysphonic patients when used with acoustic analysis. Also, the two-variable model was useful to predict perceived dysphonia severity based on the DME.

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直接幅度估算法 (DME) 和声学分析法在测量发音障碍严重程度中的实用性。
研究目的本研究的目的是:(1) 分析直接幅度估计(DME)在测量发音障碍严重程度的听觉知觉评估中的可靠性;(2) 分析 DME 与四个声学参数(前谱峰突出度 [CPP]、前谱峰突出度平滑 [CPPs]、声学嗓音质量指数 [AVQI] 和声学呼吸感指数 [ABI])之间的关系;(3) 根据 DME 和四个声学参数预测发音障碍的严重程度。研究设计:使用了 161 份发音障碍患者的语音样本。在本研究中,我们使用 Praat 软件将持续元音样本和连接语音样本合并在一起,以进行声学分析和听觉感知评估。在声学分析方面,我们分析了 CPP、CPPs、AVQI 和 ABI 的每个值。在听觉感知评估方面,三位语言病理学家对合并样本中发音障碍的严重程度进行了评估。最后,我们进行了逐步多元回归分析,以验证四个声学参数的哪一个组合最能预测基于 DME 的发音障碍严重程度:结果:我们发现 DME 在测量发音障碍严重程度的听觉感知评估中具有很高的可靠性,而且 DME 与四个声学参数之间存在显著的相关性。最后,双变量模型(AVQI 和 ABI)有助于根据 DME 预测发音障碍严重程度:我们验证了 DME 量表与声学分析结合使用时在判断发音障碍患者的发音障碍严重程度方面的实用性。此外,双变量模型也有助于预测基于 DME 的发音障碍严重程度。
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来源期刊
Journal of Voice
Journal of Voice 医学-耳鼻喉科学
CiteScore
4.00
自引率
13.60%
发文量
395
审稿时长
59 days
期刊介绍: The Journal of Voice is widely regarded as the world''s premiere journal for voice medicine and research. This peer-reviewed publication is listed in Index Medicus and is indexed by the Institute for Scientific Information. The journal contains articles written by experts throughout the world on all topics in voice sciences, voice medicine and surgery, and speech-language pathologists'' management of voice-related problems. The journal includes clinical articles, clinical research, and laboratory research. Members of the Foundation receive the journal as a benefit of membership.
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