用自然语言处理理解失节性言语的模型和方法:系统审查
Benard Alaka1, Bernard Shibwabo1
1School of Computing and Engineering Sciences, Strathmore University, Nairobi, Kenya.
JMIR rehabilitation and assistive technologies
|October 27, 2023
概括
这项研究发现,在理解脱关节性发言方面存在显著的差距,特别是在结合听者独立特征方面. 未来的研究应该集中在语义本体学上,以改善意义提取,以便更好地理解失节性发言.
科学领域:
- 语音和语言处理 语言处理
- 生物医学工程 生物医学工程
- 医疗保健中的人工智能
背景情况:
- 发言障碍的发言,以发言动力生产障碍为特征,在理解和理解方面提出了挑战.
- 最近的注意力集中在改善对失关节性言语的理解上.
研究的目的:
- 系统地审查有关失节性发言理解的研究.
- 检查在现有研究中使用的含义提取技术,应用方法,语音表示和数据库.
- 发现当前通用演讲者-听众基础的方法中的差距.
主要方法:
- 在7个电子数据库中进行了系统的文献审查.
- 30项研究是根据与自然语言处理/对失关节性言语理解相关的资格标准进行选择的.
- 使用Cochrane偏差风险工具 (RoB2) 和TRIPOD评估方法质量.
主要成果:
- 从2020年开始,人们观察到对失关节性语音理解的建议解决方案的激增.
- 大多数研究都采用了语音依赖特征,自然语言理解模型中普遍使用矢量表示.
- 通常使用的数据库包括TORGO和UA-Speech,首选用于特定研究的初级数据.
结论:
- 缺动性关节炎患者的语音理解存在显著差距,特别是听众和语音独立特征的不足利用.
- 当前的语音表示,意思提取模式和数据源需要增强.
- 未来的研究应该通过语义本体学来开发包含听者/语音独立特征的模型,以改善意义提取.
关键词:
脱发性关节障碍症 (dysarthria) 是一种疾病.熟悉度 熟悉度 熟悉度 熟悉度意思 提取 提取 意思本体学 提取 提取语音理解 语音理解语音语境化语音上下文化主题知识知识主题知识知识.更多相关视频
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