设计语音脑机接口的关键考虑因素

Q Medicine
Florent Bocquelet , Thomas Hueber , Laurent Girin , Stéphan Chabardès , Blaise Yvert
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引用次数: 47

摘要

失语症患者如何恢复沟通是神经技术的一个关键挑战。为此,可以设想脑机策略,通过对语音想象背后的神经信号的连续解码,实现人工语音合成。这样的语音脑机接口目前还不存在,它们的设计应该考虑三个关键的选择:选择合适的大脑区域来记录神经活动,选择合适的记录技术,以及选择与合适的语音合成方法相关联的神经解码方案。本文将根据以下几个方面对这些关键因素进行讨论:(1)目前对显性和隐性语音产生的皮层区域的功能神经解剖学的理解;(2)现有文献利用各种大脑记录技术来更好地表征和解决解码皮层语音信号的挑战;(3)根据语音表征水平(语音、语音和语音)的不同,可以考虑不同的语音合成方法。声学的或发音的)设想在语音脑机接口范式的核心被解码。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Key considerations in designing a speech brain-computer interface

Restoring communication in case of aphasia is a key challenge for neurotechnologies. To this end, brain-computer strategies can be envisioned to allow artificial speech synthesis from the continuous decoding of neural signals underlying speech imagination. Such speech brain-computer interfaces do not exist yet and their design should consider three key choices that need to be made: the choice of appropriate brain regions to record neural activity from, the choice of an appropriate recording technique, and the choice of a neural decoding scheme in association with an appropriate speech synthesis method. These key considerations are discussed here in light of (1) the current understanding of the functional neuroanatomy of cortical areas underlying overt and covert speech production, (2) the available literature making use of a variety of brain recording techniques to better characterize and address the challenge of decoding cortical speech signals, and (3) the different speech synthesis approaches that can be considered depending on the level of speech representation (phonetic, acoustic or articulatory) envisioned to be decoded at the core of a speech BCI paradigm.

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来源期刊
Journal of Physiology-Paris
Journal of Physiology-Paris 医学-神经科学
CiteScore
2.02
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: Each issue of the Journal of Physiology (Paris) is specially commissioned, and provides an overview of one important area of neuroscience, delivering review and research papers from leading researchers in that field. The content will interest both those specializing in the experimental study of the brain and those working in interdisciplinary fields linking theory and biological data, including cellular neuroscience, mathematical analysis of brain function, computational neuroscience, biophysics of brain imaging and cognitive psychology.
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