A Preliminary Study of Speech Prosody-Based Relationship with HDS-R Scores
A Preliminary Study of Speech Prosody-Based Relationship with HDS-R Scores
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基于语音韵律与 HDS-R 评分关系的初步研究
DOI：
10.1527/tjsai.26.347
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发表时间：
2011
影响因子：
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通讯作者：
A. Homma
中科院分区：
文献类型：
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作者：
Shohei Kato;Yuta Suzuki;Akiko Kobayashi;Toshiaki Kojima;H. Itoh;A. Homma
本文提出了一种新的尝试方法，早期发现老年人的认知功能障碍，使用语音分析和多元统计技术。本文主要研究语音的韵律特征。日本115名受试者（32名男性和83名女性，年龄在38至99岁之间）参加了本研究。我们收集了几段HDS-R检查对话中的语音。这些片段对应于回答关于时间定向和数字向后计数的问题的语音。首先，从每个语音中提取了130个韵律特征。这些韵律特征包括频谱和音高特征（53）、共振峰特征（56）、强度特征（19）以及语速和响应时间（2）。其次，这些特征通过主成分分析和/或特征选择来细化。最后，我们通过多元线性回归分析计算了基于语音韵律的认知功能障碍评分（SPCIR）。结果表明，HDS-R评分和几个选定的韵律特征的合成之间有中度显着相关。因此，调整后的决定系数R2=0.50表明，基于韵律的语音分析有可能筛查老年人的认知障碍。
This paper presents a new trial approach to early detection of cognitive impairment in the elderly with the use of speech sound analysis and multivariate statistical technique. In this paper, we focus on the prosodic features from speech sound. Japanese 115 subjects (32 males and 83 females between ages of 38 and 99) participated in this study. We collected speech sound in a few segments of dialogue of HDS-R examination. The segments corresponds to speech sound that is answering for questions on time orientation and number backward count. Firstly, 130 prosodic features have been extracted from each of the speech sounds. These prosodic features consist of spectral and pitch features (53), formant features (56), intensity features (19), and speech rate and response time (2). Secondly, these features are refined by principal component analysis and/or feature selection. Lastly, we have calculated speech prosody-based cognitive impairment rating (SPCIR) by multiple linear regression analysis. The results indicated that there is moderately significant correlation between HDS-R score and synthesis of several selected prosodic features. Consequently, adjusted coefficient of determination R2=0.50 suggests that prosody-based speech sound analysis has possibility to screen the elderly with cognitive impairment.