{
  "absUrl": "https://arxiv.org/abs/2610.31415v1",
  "arxivId": "2610.31415",
  "arxivVersion": 1,
  "arxivVersionedId": "2610.31415v1",
  "authors": [
    {
      "affiliations": [
        "机构信息未能在本次解析中与作者逐人可靠绑定"
      ],
      "name": "Fadel Thior"
    },
    {
      "affiliations": [
        "机构信息未能在本次解析中与作者逐人可靠绑定"
      ],
      "name": "Ahmer Tabassum"
    },
    {
      "affiliations": [
        "机构信息未能在本次解析中与作者逐人可靠绑定"
      ],
      "name": "Haania Siddiqui"
    },
    {
      "affiliations": [
        "机构信息未能在本次解析中与作者逐人可靠绑定"
      ],
      "name": "Hanan Aldarmaki"
    },
    {
      "affiliations": [
        "Mohamed bin Zayed University of Artificially Intelligence"
      ],
      "name": "Thamar Solorio"
    }
  ],
  "contract": "researcher-sidecars-v1",
  "id": "2610.31415v1",
  "originalTitle": "SyRA-CS: Synthetic-to-Real Adaptation for Code-Switched ASR with Meta-Learning",
  "pdfUrl": "https://arxiv.org/pdf/2610.31415v1.pdf",
  "schemaVersion": 1,
  "type": "preprint"
}