一个流媒体的大脑到声音的神经假体,以恢复自然主义的沟通
Kaylo T Littlejohn1,2,3, Cheol Jun Cho1,2,3, Jessie R Liu2,3
1Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA.
Nature neuroscience
|March 31, 2025
概括
这项研究开发了一种用于语音合成的脑计算机接口,使患者能够自然沟通. 该系统将神经信号解码为实时流利的语言,恢复对话能力.
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
- 人工智能的人工智能
背景情况:
- 自然的口语沟通是快速的,对社会互动至关重要.
- 语音延迟可能会阻碍对话的流动,导致患者的孤立.
- 现有的辅助通信方法往往缺乏自然性和速度.
研究的目的:
- 开发一个由神经信号驱动的实时语音合成器.
- 恢复严重和无关节症患者的自然口语交流.
- 为了创建一个个性化的语音神经假肢范式.
主要方法:
- 利用来自语音感官运动皮质的高密度表面记录.
- 采用深度学习循环神经网络传感器模型进行神经解码.
- 实现在线,大词汇,可理解和流利的语音合成在80ms的增量.
主要成果:
- 从神经信号展示实时,个性化的语音合成.
- 实现了隐式语音检测和连续解码能力.
- 展示了对其他静音语音接口的概括,如单单元录音和电肌学.
结论:
- 引入了一个新的语音神经假肢框架.
- 成功地恢复了一名患有的参与者的自然主义口语交流.
- 铺平了先进的大脑-计算机接口的道路,以恢复通信.
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