{
  "absUrl": "https://arxiv.org/abs/2609.21288v1",
  "arxivId": "2609.21288",
  "arxivVersion": 1,
  "arxivVersionedId": "2609.21288v1",
  "authors": [
    {
      "affiliations": [
        "Department of Electrical and Computer Engineering, New York University Tandon School of Engineering, New York, NY, USA"
      ],
      "name": "Chenqian Le"
    },
    {
      "affiliations": [
        "Department of Electrical and Computer Engineering, New York University Tandon School of Engineering, New York, NY, USA",
        "Department of Neurology, New York University Grossman School of Medicine, New York, NY, USA"
      ],
      "name": "Beatrice Fumagalli"
    },
    {
      "affiliations": [
        "Department of Neurology, New York University Grossman School of Medicine, New York, NY, USA"
      ],
      "name": "Yasamin Esmaeili"
    },
    {
      "affiliations": [
        "Department of Electrical and Computer Engineering, New York University Tandon School of Engineering, New York, NY, USA"
      ],
      "name": "Xupeng Chen"
    },
    {
      "affiliations": [
        "Department of Electrical and Computer Engineering, New York University Tandon School of Engineering, New York, NY, USA"
      ],
      "name": "Tianyu He"
    },
    {
      "affiliations": [
        "Department of Electrical and Computer Engineering, New York University Tandon School of Engineering, New York, NY, USA"
      ],
      "name": "Nikasadat Emami"
    },
    {
      "affiliations": [
        "Department of Neurology, New York University Grossman School of Medicine, New York, NY, USA"
      ],
      "name": "Adeen Flinker"
    },
    {
      "affiliations": [
        "Department of Electrical and Computer Engineering, New York University Tandon School of Engineering, New York, NY, USA"
      ],
      "name": "Yao Wang"
    }
  ],
  "contract": "researcher-sidecars-v1",
  "id": "2609.21288v1",
  "originalTitle": "Multi-Subject Pretraining Enables Short-Calibration Personalization for Closed-Corpus Surface EMG Speech Decoding",
  "pdfUrl": "https://arxiv.org/pdf/2609.21288v1.pdf",
  "schemaVersion": 1,
  "type": "preprint"
}
