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Updated: Jun 25, 2025

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一个双语语音神经假体,由皮层的发音表征驱动,这些表征在语言之间共享

Alexander B Silva^1,2,3, Jessie R Liu^1,2,3, Sean L Metzger^1,2,3

¹Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.

Nature biomedical engineering

|May 20, 2024

概括

这项研究表明,用于发言的脑活动是跨语言共享的,即使在后. 这允许从大脑信号解码多种语言,而不需要语言特定的训练.

科学领域:

神经科学是一个神经科学.
计算语言学计算语言学
生物医学工程生物医学工程

背景情况:

以前的语音解码研究集中在单个语言上.
跨语言双语语音产生的神经基础仍然不清楚,尤其是在后.

研究的目的:

调查双语个体发言的共同与独特的神经活动.
开发一种脑计算机接口,能够从神经信号中解码多种语言,而不需要语言规范.

主要方法:

利用电皮质谱 (ECoG) 来记录来自语音运动皮层的大脑活动.
采用深度学习和统计自然语言模型来解码英语和西班牙语.
开发了一种基于共享的发音表示的通用音节分类器.

主要成果:

成功解码英语和西班牙语的句子,来自一个的双语参与者.
证明解码模型利用跨语言的共享表达表达方式.
展示了转移学习的有效性,以提高语言之间的解码性能.

结论:

双语语音的产生依赖于共享的皮层发音表征,这些表征对是强大的.
一个单一的,语言不可知解码器可以为多种语言开发.
这种方法为说多种语言的人士恢复沟通提供了一条途径.

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