用人工智能准备的 PERCEPT 身体进行可复制的语音研究
Nina R Benway1, Jonathan L Preston1,2, Elaine Hitchcock3
1Department of Communication Sciences & Disorders, Syracuse University, NY.
概括
新的语音体 (PERCEPT-R和PERCEPT-GFTA) 为患有语音障碍的儿童和青少年提供超过36小时的音频数据. 这些资源支持可重现的研究和语音病理学临床教育.
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
- 发展心理学是发展心理学.
背景情况:
- 公共可用的语音体使得可重现的研究和临床教育成为可能.
- 这些数据集支持感知训练和语音分析工具的使用.
研究的目的:
- 介绍 PERCEPT (语音目标临床评估的感知错误评分) 机构: PERCEPT-R (Rhotics) 和 PERCEPT-GFTA (高尔德曼-弗里斯托测试的关节).
- 提供超过36小时的语音音频数据,来自6-24岁的个人,有或没有语音障碍,重点是/ɹ/.
- 突出PhonBank作为存储库,并展示Phon软件用于数据分析的使用.
主要方法:
- 收集并策划了超过36小时的语音音频数据.
- 将数据组织成 PERCEPT-R 和 PERCEPT-GFTA 公司.
- 使用PhonBank进行数据存储和Phon软件进行分析.
主要成果:
- 感知体内包含超过125,000个音节,单词和短语的发音.
- 通过研究示例展示了PERCEPT-R与Phon软件的实用性.
- 建立了一个Slack道,用于用户支持和未来数据发布信息.
结论:
- PERCEPT corpora,PhonBank和Phon促进了儿童语言的临床培训和研究.
- 这些资源可以提高关于语言发育和语音障碍的研究的可复制性.
- 有潜力培训人工智能临床语音技术,用于有语音障碍的儿童.
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