Tesi etd-11162025-130759 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
FERRANTE, FRANCESCO
URN
etd-11162025-130759
Titolo
Automatic Music Plagiarism Detection: a Systematic Survey
Dipartimento
INFORMATICA
Corso di studi
INFORMATICA
Relatori
relatore Prof. Gervasi, Vincenzo
Parole chiave
- Music Plagiarism
- Plagiarism Detection
- Systematic Literature Review
Data inizio appello
04/12/2025
Consultabilità
Tesi non consultabile
Riassunto
This thesis presents a systematic survey on the state of the art in Automatic
Music Plagiarism Detection. By documenting the research conducted according to
the guidelines of a systematic literature review by Kitchenham et al., the aim is to
provide a comprehensive and up-to-date overview on the field. The study highlights
the fundamental aspects that define the problem and examines how these have been
addressed in the existing literature. Finally, it establishes a foundation for future
research by identifying and analyzing the open challenges that remain unresolved.
Music Plagiarism Detection. By documenting the research conducted according to
the guidelines of a systematic literature review by Kitchenham et al., the aim is to
provide a comprehensive and up-to-date overview on the field. The study highlights
the fundamental aspects that define the problem and examines how these have been
addressed in the existing literature. Finally, it establishes a foundation for future
research by identifying and analyzing the open challenges that remain unresolved.
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