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重度抑郁症严重程度的语音声学测量

Voice acoustical measurement of the severity of major depression.

作者信息

Cannizzaro Michael, Harel Brian, Reilly Nicole, Chappell Phillip, Snyder Peter J

机构信息

Voice Acoustics Laboratory, Clinical Technology, Pfizer Global Research & Development, Groton, CT, USA.

出版信息

Brain Cogn. 2004 Oct;56(1):30-5. doi: 10.1016/j.bandc.2004.05.003.

Abstract

A number of empirical studies have documented the relationship between quantifiable and objective acoustical measures of voice and speech, and clinical subjective ratings of severity of Major Depression. To further explore this relationship, speech samples were extracted from videotape recordings of structured interviews made during the administration of the 17-item Hamilton Depression Rating Scale (HDRS; ). Pilot data were obtained from seven subjects (five males, two females) from videotapes that have been used to train expert raters on the administration and scoring of the HDRS. Several speech samples were isolated for each subject and processed to obtain the acoustic measurements. Acoustic measures were selected on the basis that they were correlated with HDRS ratings of symptom severity as seen under ideal voice recording conditions in previous studies. Our findings corroborate earlier reports that speaking rate is well correlated (negatively) with HDRS scores, with a strong correlation and nearly significant trend seen for the measure of pitch variability. A moderate pairwise correlation between percent pause time and HDRS score was also revealed, although this relationship was not statistically significant. The results from this cross-sectional study further demonstrate the ability of voice and speech signal analyses to objectively track severity of depression. In the present case, it is suggested that this relationship is robust enough to be found despite the less than ideal recording conditions and equipment used during the original videotape recording. Voice acoustical analyses may provide a powerful compliment to the standard clinical interview for depression. Use of such measures increases the range of techniques that are available to explore the neurobiological substrates of Major Depression, its treatment, and the dynamic interplay of the systems that govern the motor, cognitive, and emotional aspects of speech production.

摘要

一些实证研究记录了语音和言语的可量化客观声学指标与重度抑郁症临床主观严重程度评分之间的关系。为了进一步探究这种关系,从在使用17项汉密尔顿抑郁量表(HDRS)进行结构化访谈的录像带中提取了语音样本。先导数据来自7名受试者(5名男性,2名女性)的录像带,这些录像带已用于培训专家对HDRS的管理和评分。为每个受试者分离出几个语音样本并进行处理以获得声学测量值。选择声学指标的依据是,在先前研究的理想语音记录条件下,它们与HDRS症状严重程度评分相关。我们的研究结果证实了早期的报告,即语速与HDRS评分呈良好的负相关,音高变异性测量显示出很强的相关性和近乎显著的趋势。停顿时间百分比与HDRS评分之间也显示出适度的成对相关性,尽管这种关系在统计学上不显著。这项横断面研究的结果进一步证明了语音和言语信号分析客观追踪抑郁严重程度的能力。在本案例中,尽管原始录像带记录期间的记录条件和设备不太理想,但仍表明这种关系足够稳健,可以被发现。语音声学分析可能为抑郁症的标准临床访谈提供有力补充。使用这些指标增加了可用于探索重度抑郁症的神经生物学基础、其治疗以及控制言语产生的运动、认知和情感方面的系统之间动态相互作用的技术范围。

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