Global Brain Health Institute, University of California, 505 Parnassus Ave, San Francisco, CA, 94143, USA.
Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina.
Behav Res Methods. 2024 Apr;56(4):2886-2900. doi: 10.3758/s13428-023-02240-z. Epub 2023 Sep 27.
Automated speech and language analysis (ASLA) is a promising approach for capturing early markers of neurodegenerative diseases. However, its potential remains underexploited in research and translational settings, partly due to the lack of a unified tool for data collection, encryption, processing, download, and visualization. Here we introduce the Toolkit to Examine Lifelike Language (TELL) v.1.0.0, a web-based app designed to bridge such a gap. First, we outline general aspects of its development. Second, we list the steps to access and use the app. Third, we specify its data collection protocol, including a linguistic profile survey and 11 audio recording tasks. Fourth, we describe the outputs the app generates for researchers (downloadable files) and for clinicians (real-time metrics). Fifth, we survey published findings obtained through its tasks and metrics. Sixth, we refer to TELL's current limitations and prospects for expansion. Overall, with its current and planned features, TELL aims to facilitate ASLA for research and clinical aims in the neurodegeneration arena. A demo version can be accessed here: https://demo.sci.tellapp.org/ .
自动化语音和语言分析（ASLA）是捕捉神经退行性疾病早期标志物的一种很有前途的方法。然而，由于缺乏用于数据收集、加密、处理、下载和可视化的统一工具，其在研究和转化环境中的潜力尚未得到充分利用。在这里，我们介绍了工具包来检查逼真的语言（TELL）v1.0.0，这是一个基于网络的应用程序，旨在弥合这一差距。首先，我们概述了其开发的一般方面。其次，我们列出了访问和使用应用程序的步骤。第三，我们指定了它的数据收集协议，包括语言概况调查和 11 个音频记录任务。第四，我们描述了该应用程序为研究人员（可下载文件）和临床医生（实时指标）生成的输出。第五，我们调查了通过其任务和指标获得的已发表的发现。第六，我们提到了 TELL 的当前限制和扩展的前景。总的来说，TELL 旨在促进神经退行性疾病领域的研究和临床目标的 ASLA，它具有当前和计划的功能。演示版本可以在这里访问：https://demo.sci.tellapp.org/ 。
