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Paralinguistic and linguistic fluency features for Alzheimer's disease detection

机译：Alzheimer疾病检测的Paralinguistic和语言流利特征

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Alzheimer's disease (AD) is one of the most common forms of dementia in the world. The Mini-Mental State Examination, a tool developed to detect AD, is composed of various tests that evaluate functional performance in several fields, one of which is language. Several symptoms are manifested in voices as a result of language and speech problems caused by AD, including frequent involuntary pauses during conversations and diction and vocabulary difficulties. Speech fluency is considered a key feature for AD detection in this research, for which two algorithms are proposed. The first algorithm is a paralinguistic system that is independent of the language and task and whose low-dimension feature vectors facilitate the training stage. This algorithm is tested on two databases (AcceXible and ADReSS), on two languages (Spanish and English) and on several tests. The second algorithm is based on analysing temporal patterns of silence between words and errors in spoken words. This approach, based on verbal fluency tests, is tested on the AcceXible database. To benchmark these algorithms, two baseline algorithms are used: the i-vector framework, a speaker modelling algorithm that has been effectively used for speech-related tasks such as speaker recognition, language identification, speaker diarization and speech-related health tasks; and a classic counting-terms algorithm, which processes transcriptions of speech. The paralinguistic system yields promising results for different tests and languages, while the silence-based system achieves high accuracy in verbal fluency tests.
机译：阿尔茨海默病（AD）是世界上最常见的痴呆形式之一。迷你精神状态检查是一种用于检测广告的工具，由各种测试组成，可评估几个字段中的功能性能，其中一个是语言。由于广告造成的语言和语音问题，包括语言问题，包括在谈话和词汇和词汇困难中的语言和言语问题中表现出几种症状。语音流畅性被认为是该研究的广告检测的关键特征，提出了两种算法。第一算法是一个单语言语系统，其独立于语言和任务，其低维特征向量方便培训阶段。该算法在两种数据库（CAMICE和Adress）上测试了两种语言（西班牙语和英语）和几次测试。第二种算法基于分析语言词汇和错误之间的时间模式。基于言语流畅测试的这种方法在ComceToxible数据库上进行了测试。为了基准这些算法，使用了两个基线算法：I形式框架，一种扬声器建模算法，其已经有效地用于与语音相关的任务，例如扬声器识别，语言识别，扬声器日益化和语音相关的健康任务;和经典计数算法，其处理语音的转录。 Paralinguistics系统对不同的测试和语言产生了有希望的结果，而基于沉默的系统在口头流畅测试中实现了高精度。

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