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SPEECH ANALYSIS ALGORITHMIC SYSTEM AND METHOD FOR OBJECTIVE EVALUATION AND/OR DISEASE DETECTION

机译:用于客观评估和/或疾病检测的言语分析算法系统和方法

摘要

Systems and methods use patient speech samples as inputs, use subjective multi-point ratings by speech-language pathologists of multiple perceptual dimensions of patient speech samples as further inputs, and extract laboratory-implemented features from the patient speech samples. A predictive software model learns the relationship between speech acoustics and the subjective ratings of such speech obtained from speech-language pathologists, and is configured to apply this information to evaluate new speech samples. Outputs may include objective evaluation of the plurality of perceptual dimensions for new speech samples and/or evaluation of disease onset, disease progression, or disease treatment efficacy for a condition involving dysarthria as a symptom, utilizing the new speech samples.
机译:系统和方法使用患者语音样本作为输入,通过语音语言病理学家使用患者语音样本的多个感知尺寸作为进一步输入的语言病理学家,以及从患者语音样本提取实验室实施的特征。预测软件模型学习语音声学和从语音语音病理学家获得的这种语音之间的关系之间的关系,并且被配置为应用这些信息来评估新的语音样本。输出可以包括用于新语音样本的多个感知尺寸的客观评价和/或疾病发病,疾病进展或疾病治疗疗效的评估,以便利用新的语音样本作为症状的病症。

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