一个协作式的数据共享和语音分析平台
Justin D Dvorak1, Frank R Boutsen1,2
1Communication & Audio Technology Laboratory, Norman, OK.
概括
通过统一研究人员和临床医生的数字工具,Collaboverse系统弥合了语音语言病理学的差距. 这个平台促进了协作和机器学习应用程序,缩小了数字沟.
科学领域:
- 语音语言病理学 语言病理学
- 计算语言学计算语言学
- 数字健康数字健康
背景情况:
- 语音语言病理学的数字协作涉及各种工具,导致数据孤岛和数字沟.
- 弥合研究,临床实践和教育之间的差距对于推进该领域至关重要.
研究的目的:
- 介绍Collaboverse,一个基于Web的系统,旨在统一语音语言病理学的数字领域.
- 展示Collaboverse在常见语音语言病理学任务和机器学习 (ML) 中的应用.
主要方法:
- 概述了关键概念:数字沟,数据管理,分布式计算和ML.
- 为研究人员,临床医生和教育工作者介绍了Collaboverse工作空间.
- 详细介绍了一种用于prosodic分析的ML方法.
主要成果:
- 在语音语言病理学中,Collaboverse显示了减少数字沟的潜力.
- 该系统产生了临床相关的数据,特别是用于prosody分析.
- 包括一个增强和替代通信 (AAC) 应用程序用于视觉,非文本通信.
结论:
- Collaboverse有效地统一了语音语言病理学的研究,临床和教育领域.
- 该平台促进了先进的计算和ML应用程序,解决了prosody分析的挑战.
- 集成的AAC应用程序提高了通信的可访问性.
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