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	{
    "title": "OCR and topic modeling of musical scores to explore the development of minstrelsy through the Nineteenth Century",
    "abstract": "Johns Hopkins holds the Lester S. Levy collection of 19th and early 20th-century popular sheet music: it offers a unique opportunity to study the development of minstrelsy through the pre- and post-Civil War eras, but poses unique challenges for automatic transcription.  We are running initial transcription experiments using open-source OCR models, followed by temporal topic modeling, to attempt to characterize the shifting emphasis across time and between genres.  A likely next step will involve gathering a small amount of expert annotation to fine-tune the OCR process and perhaps expand it to include the musical notation itself.",
    "content": "Johns Hopkins holds the Lester S. Levy collection of 19th and early 20th-century popular sheet music: it offers a unique opportunity to study the development of minstrelsy through the pre- and post-Civil War eras, but poses unique challenges for automatic transcription.  We are running initial transcription experiments using open-source OCR models, followed by temporal topic modeling, to attempt to characterize the shifting emphasis across time and between genres.  A likely next step will involve gathering a small amount of expert annotation to fine-tune the OCR process and perhaps expand it to include the musical notation itself.",
    "thumbnail": null,
    "researchers": [
        "https://cdh.jhu.edu/api/user/2/",
        "https://cdh.jhu.edu/api/user/6/"
    ],
    "name": "scores",
    "url": "https://cdh.jhu.edu/api/researchproject/12/",
    "creator_url": "https://cdh.jhu.edu/api/user/2/",
    "permissions_url": "/api/researchproject/permissions/12/",
    "id": 12
}