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Encoding of Articulatory Kinematic Trajectories in Human Speech Sensorimotor Cortex

机译:人类演讲传感器皮层的铰接性运动轨迹的编码

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摘要

When speaking, we dynamically coordinate movements of our jaw, tongue, lips, and larynx. To investigate the neural mechanisms underlying articulation, we used direct cortical recordings from human sensorimotor cortex while participants spoke natural sentences that included sounds spanning the entire English phonetic inventory. We used deep neural networks to infer speakers’ articulator movements from produced speech acoustics. Individual electrodes encoded a diversity of articulatory kinematic trajectories (AKTs), each revealing coordinated articulator movements toward specific vocal tract shapes. AKTs captured a wide range of movement types, yet they could be differentiated by the place of vocal tract constriction. Additionally, AKTs manifested out-and-back trajectories with harmonic oscillator dynamics. While AKTs were functionally stereotyped across different sentences, context-dependent encoding of preceding and following movements during production of the same phoneme demonstrated the cortical representation of coarticulation. Articulatory movements encoded in sensorimotor cortex give rise to the complex kinematics underlying continuous speech production. Video AbstractDisplay Omitted.
机译:说话时,我们动态地坐标,舌下,舌头,嘴唇和喉部的运动。为了调查阐述的神经机制,我们使用人类传感器皮质的直接皮质录制,而参与者则讲述了跨越整个英语语音库存的声音的自然句子。我们使用深神经网络从生产的语音声学推断出扬声器的铰接器运动。各个电极编码了铰接性运动轨迹(髋部)的多样性,每个电极促使与特定声道形状进行协调的铰接器运动。 AKTS捕获了各种各样的运动类型,但它们可以通过声道收缩的地方区分。此外,AKTS表现出具有谐振子动态的外回轨迹。虽然Akts在不同句子上具有功能陈述,但在同一音素的生产过程中之前和以下运动的上下文编码证明了Coarticulation的皮质表示。在SensorImotor Cortex中编码的明晰度运动引起了持续语音生产的复杂运动学。 Video AbstractDisplay省略。

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