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Decoding Inner Speech Using Electrocorticography: Progress and Challenges Toward a Speech Prosthesis

机译:使用皮层脑电图解码内部语音:语音假体的进展和挑战

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摘要

Certain brain disorders resulting from brainstem infarcts, traumatic brain injury, cerebral palsy, stroke, and amyotrophic lateral sclerosis, limit verbal communication despite the patient being fully aware. People that cannot communicate due to neurological disorders would benefit from a system that can infer internal speech directly from brain signals. In this review article, we describe the state of the art in decoding inner speech, ranging from early acoustic sound features, to higher order speech units. We focused on intracranial recordings, as this technique allows monitoring brain activity with high spatial, temporal, and spectral resolution, and therefore is a good candidate to investigate inner speech. Despite intense efforts, investigating how the human cortex encodes inner speech remains an elusive challenge, due to the lack of behavioral and observable measures. We emphasize various challenges commonly encountered when investigating inner speech decoding, and propose potential solutions in order to get closer to a natural speech assistive device.
机译:尽管患者已经完全意识到,但由于脑干梗塞,颅脑外伤,脑瘫,中风和肌萎缩性侧索硬化导致的某些脑部疾病限制了言语交流。由于神经系统疾病而无法交流的人们将受益于可以直接从大脑信号推断内部语音的系统。在这篇评论文章中,我们描述了解码内部语音的最新技术,范围从早期的声音特征到高阶语音单元。我们专注于颅内记录,因为该技术可以以高空间,时间和频谱分辨率监视大脑活动,因此是研究内部语音的理想人选。尽管付出了巨大的努力,但由于缺乏行为和可观察的措施,研究人类皮质如何编码内部语音仍然是一项艰巨的挑战。我们着重研究内部语音解码时通常遇到的各种挑战,并提出潜在的解决方案,以便更接近自然的语音辅助设备。

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