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New multimodal system captures speech production via MRI, EEG, and EMG

Researchers have developed a novel method for simultaneously acquiring real-time MRI video, electroencephalography (EEG), and surface electromyography (EMG) data during speech production. This multimodal approach captures brain signals, muscle activations, and articulatory movements, presenting significant technical challenges due to MRI interference. An artifact suppression pipeline has been introduced to address these issues, aiming to provide unprecedented insights into speech neuroscience and advance brain-computer interface technology. The associated source code and data are publicly available. AI

IMPACT Enables new research avenues in speech neuroscience and brain-computer interfaces.

RANK_REASON The cluster describes a research paper detailing a new methodology for data acquisition in speech production. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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New multimodal system captures speech production via MRI, EEG, and EMG

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The cluster describes a research paper detailing a new methodology for data acquisition in speech production. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Jihwan Lee, Parsa Razmara, Kevin Huang, Sean Foley, Aditya Kommineni, Haley Hsu, Woojae Jeong, Prakash Kumar, Xuan Shi, Yoonjeong Lee, Tiantian Feng, Takfarinas Medani, Ye Tian, Sudarsana Reddy Kadiri, Krishna S. Nayak, Dani Byrd, Louis Goldstein, Richar… ·

    An Approach to Simultaneous Acquisition of Real-Time MRI Video, EEG, and Surface EMG for Articulatory, Brain, and Muscle Activity During Speech Production

    arXiv:2603.04840v2 Announce Type: replace-cross Abstract: Speech production is a complex process spanning neural planning, motor control, muscle activation, and articulatory kinematics. While the acoustic speech signal is the most accessible product of the speech production act, …