Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA 94143, USA; Joint Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, Berkeley, CA 94720, USA.
Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA 94143, USA.
Neuron. 2018 Jun 6;98(5):1042-1054.e4. doi: 10.1016/j.neuron.2018.04.031. Epub 2018 May 17.
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 ABSTRACT.
当我们说话时,我们的下颚、舌头、嘴唇和喉咙会协调运动。为了研究发音的神经机制,我们在参与者说出包含整个英语语音库的自然句子时,从人类感觉运动皮层进行直接皮层记录。我们使用深度神经网络从产生的语音声学中推断出说话者的发音器官运动。单个电极编码了各种发音运动轨迹(AKT),每个轨迹都揭示了朝向特定声道形状的协调发音器官运动。AKT 捕捉到了广泛的运动类型,但它们可以通过声道收缩的位置来区分。此外,AKT 表现出具有谐振子动力学的往返轨迹。虽然 AKT 在不同的句子中具有功能上的刻板印象,但在产生相同音素时,对前后运动的上下文相关编码表明了协同发音的皮层表示。感觉运动皮层中编码的发音器官运动产生了连续言语产生的复杂运动学。视频摘要。