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Voice to Text Metadata Extraction for Periodicals

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 Niv, Amit

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Voice to Text Metadata Extraction for Periodicals
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3
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CC Attribution 4.0 International:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Abstract
In this presentation, Amit Niv will outline a process to extract metadata for cataloging periodicals using Gemini's voice to text capabilities. This process was devised as a student project and later refined by library staff.