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AUTOMATED ASSESSMENT OF COGNITIVE AND SPEECH MOTOR IMPAIRMENT

机译:自动评估认知和语音电机障碍

摘要

The application relates to devices and methods for assessing cognitive impairment and/or speech motor impairment in a subject. The method comprises analysing a voice recording from a word- reading test obtained from the subject by identifying a plurality of segments of the voice recording that correspond to single words or syllables and determining the number of correctly read words in the voice recording and/or the speech rate associated with the recording. Determining the correct number of words in the recording may comprise computing one or more Mel-frequency cepstral coefficients (MFCCs) for the segments, clustering the resulting vectors of values into n clusters, wherein each cluster has n possible labels, predicting a sequence of words in the voice recording using the labels associated with the clustered vectors of values, performing a sequence alignment between the predicted sequence of words and the sequence of words used in the word reading test, selecting the labels that result in the best alignment and counting the number of matches in the alignment. The devices and methods find use in the diagnosis and monitoring of diseases or disorders such as neurological disorders.
机译:该应用涉及用于评估对象中的认知障碍和/或语音电机损伤的装置和方法。该方法包括通过识别与单个单词或音节对应的语音记录的多个片段来分析来自对象的单词读取测试,该语音记录的多个段和测定语音记录中的正确读取单词的数量和/或者与录音相关的语音速率。确定记录中的正确数量的单词可以包括计算段的一个或多个母频谱系数(MFCCs),将结果的载体聚类为n个簇,其中每个群集具有n个可能的标签,预测一系列单词在语音录制中,使用与群集的值相关的标签,在读取测试中的预测的单词和单词序列之间执行序列对齐,从而选择导致最佳对准并计数数字的标签对齐的比赛。这些装置和方法可用于诊断和监测疾病或疾病,如神经系统障碍。

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