Acoustical properties of speech as indicators of depression and suicidal risk
Acoustical properties of speech as indicators of depression and suicidal risk
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DOI：
10.1109/10.846676
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发表时间：
2000-07-01
影响因子：
4.6
通讯作者：
Wilkes, DM
中科院分区：
文献类型：
--
作者：
France, DJ;Shiavi, RG;Wilkes, DM
言语的声学特性先前已被确定为抑郁的可能线索，并且有证据表明，某些声音参数可以进一步用于客观区分抑郁和自杀的言语。研究人员进行了分析和比较不同男性和女性样本的语音声学，这些样本由正常个体和患有抑郁症和高风险近期自杀倾向的个体组成。女性样本包括10名对照受试者、17名心境恶劣患者和21名重度抑郁症患者。男性对照组24例，重度抑郁症患者21例，自杀高危患者22例。对从样本成员收集的录音中提取的语音样本进行了声音基频（F-0）、调幅（AM）、共振峰和功率分布的声学分析。对代表控制类和无序类成员的特征向量进行多变量特征和判别分析。在男性和女性的研究中，从形成峰和功率谱密度测量中得出的特征被发现是最佳的类别成员鉴别器。AM特征成为男性阶级的强烈阶级区分者。在两项研究中，描述F-0的特征通常是无效的鉴别因子。研究结果支持了精神运动障碍是抑郁症和自杀的核心因素的理论。
Acoustic properties of speech have previously been identified as possible cues to depression, and there is evidence that certain vocal parameters may be used further to objectively discriminate between depressed and suicidal speech. Studies were performed to analyze and compare the speech acoustics of separate male and female samples comprised of normal individuals and individuals carrying diagnoses of depression and high-risk, near-term suicidality. The female sample consisted of ten control subjects, 17 dysthymic patients, and 21 major depressed patients. The male sample contained 24 control subjects, 21 major depressed patients, and 22 high-risk suicidal patients. Acoustic analyses of voice fundamental frequency (F-0), amplitude modulation (AM), formants, and power distribution were performed on speech samples extracted from audio recordings collected from the sample members. Multivariate feature and discriminant analyses were performed on feature vectors representing the members of the control and disordered classes. Features derived from the formant and power spectral density measurements were found to be the best discriminators of class membership in both the male and female studies. AM features emerged as strong class discriminators of the male classes. Features describing F-0 were generally ineffective discriminators in both studies. The results support theories that identify psychomotor disturbances as central elements in depression and suicidality.