VocalMind:一种立体EEG数据集,用于声调语言中发音,模仿和想象的语音
Tianyu He1, Mingyi Wei2, Ruicong Wang1
1School of Data Science, Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong, Shenzhen, Guangdong, 518172, P. R. China.
Scientific data
|April 19, 2025
概括
这项研究介绍了VocalMind,这是普通话中文脑电脑接口 (BCI) 的新数据集. 它为语音解码研究提供了有价值的内神经记录.
科学领域:
- 神经科学是一个神经科学.
- 生物医学工程 生物医学工程
- 计算语言学 计算语言学
背景情况:
- 语音脑计算机接口 (BCI) 显示了通过侵入性神经传感来增强通信的前景.
- 获取此类数据是具有挑战性的,因为只有有限的公共数据集可用,特别是像普通话中文这样的音调语言.
研究的目的:
- 介绍VocalMind,一种用于普通话中文语音生产的新型立体电脑学 (sEEG) 数据集.
- 为推进语音解码算法和脑计算机接口 (BCI) 研究提供一个有价值的资源.
主要方法:
- 收集了三种语音模式的立体电脑学 (sEEG) 数据:发声,模仿和想象语音.
- 包括单词和句子级别的录音,总计超过一个小时的内神经数据.
- 开发了一个基线模型,用于未来研究的参考.
主要成果:
- VocalMind数据集包括普通话中文的并行EEG语音录音.
- 它包括各种语言任务 (发音,模仿,想象) 在单词和句子层面.
- 为开发先进的语音解码算法提供大量数据.
结论:
- VocalMind是BCI研究的重要资源,特别是对音调语言的研究.
- 该数据集有助于开发复杂的语音解码模型.
- 推进BCI领域的口语沟通增强.
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