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  <titleInfo>
    <title>AI music composing in Vietnam for 2025-2028</title>
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  <name type="personal">
    <namePart>Nguyen Trung Hieu</namePart>
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  <name type="personal">
    <namePart>Chaklam Silpasuwanchai</namePart>
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  <name type="personal">
    <namePart>Chutiporn Anutariya</namePart>
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  <name type="personal">
    <namePart>Vatcharaporn Esichaikul</namePart>
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      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
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    <place>
      <placeTerm type="text">Pathum Thani, Thailand</placeTerm>
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    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>2025</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <abstract>This research explores the application of Artificial Intelligence (AI) in music composition  within the Vietnamese market. It aims to assess current adoption levels, identify opportunities  and challenges, and propose recommendations for sustainable integration of AI in the music  industry.Using a mixed-method approach combining surveys of 17 musicians and producers, in-depth  interviews, and content analysis of AI-generated music, the study reveals that while AI offers  significant benefits in terms of creativity, cost efficiency, and production speed, concerns  remain regarding copyright, authenticity, and cultural identity.{u2028}The findings suggest that  Vietnam can leverage AI for global music competitiveness by investing in AI literacy,  establishing clear copyright regulations, and promoting collaborations between artists and  technologists. </abstract>
  <note>A project report submitted in partial fulfillment of the requirements for the Degree of Master of Science (Professional) in Data Science and Artificial Intelligence Applications</note>
  <note>Project - Master of Science (Professional) - Asian Institute of Technology, 2025</note>
  <subject authority="lcsh">
    <topic>Artificial intelligence</topic>
    <topic>Musical applications</topic>
    <geographic>Vietnam</geographic>
    <temporal>2025-2028</temporal>
  </subject>
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    <titleInfo>
      <title>Project ; no. PJPR PMDS-25-01</title>
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      <namePart>Asian Institute of Technology.</namePart>
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    </name>
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  <identifier type="uri">http://203.159.5.9/ait-thesis/detail.php?q=B23684</identifier>
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