ReCANVo:一个真实世界沟通和情感非语言发音的数据库
Kristina T Johnson1, Jaya Narain2, Thomas Quatieri3
1Massachusetts Institute of Technology, MIT Media Lab, Cambridge, MA, USA. ktj@mit.edu.
Scientific data
|August 5, 2023
概括
这项研究介绍了ReCANVo,ReCANVo是一个新的数据集,它收集了极少说话的个体的非语言发音. 这个资源捕捉了丰富的情感和沟通表达,对于理解非语言沟通至关重要.
科学领域:
- 语言学的语言学.
- 语音语言病理学 语音语言病理学
- 心理学 心理学 心理学
背景情况:
- 非语言发音传达了重要的情感和沟通信息.
- 至少说话的人在很大程度上依赖于非语言发音来表达.
- 有限的数据存在于这个人口的非语言发音.
研究的目的:
- 为了引入ReCANVo (现实世界的沟通和情感非语言发音),一个新的数据集.
- 提供一个全面的资源,用于研究极少说话的个体的非语言发音.
- 在现实世界中捕捉非语言发音的功能和情感维度.
主要方法:
- 收集了来自8个极少说话的人的7000多个非语音发音.
- 在自然,现实世界的环境中录制声音.
- 具有上下文知识的家庭成员实时标记的发音.
主要成果:
- 该ReCANVo数据库是最大的可用的数据集的非语言发音从最低限度说话的个人.
- 数据集包括每个参与者的详细沟通档案.
- 发音涵盖了一系列的沟通和情感功能.
结论:
- ReCANVo为研究非语言沟通提供了一个独特而有价值的资源.
- 这一数据集有助于更深入地了解微量语言人口中的情感性言语和沟通.
- 现实世界采集方法提高了生态有效性.
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