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Musik Information Retrieval

Winter

(engl. Music Information Retrieval )

Modulnummer: FIN-INF-140018
Link zum LSF: LSF
Verantwortung: Sebastian Stober
Dozent:in: Sebastian Stober
Lehrveranstaltungen:
  • Vorlesung Musik Information Retrieval
  • Übung Musik Information Retrieval
Verwendbarkeit: - B.Sc. INF: Informatik - Wahlpflicht
- B.Sc. CV: Informatik - Wahlpflicht
- B.Sc. INGINF: Informatik - Wahlpflicht
- B.Sc. WIF: Gestalten und Anwenden - Wahlpflicht
- B.Sc. INF (bilingual): Informatik - Wahlpflicht

Kürzel

MIR

CP

5

Semester

Winter

Fachsem.

None

Dauer

1 Semester

Sprache

deutsch

Niveau

Bachelor

Angestrebte Lernergebnisse:
The students ...

  • know the basics of digital music processing
  • know different music formats (representations) and relevant characteristics
  • are able to analyze and model problems of music analysis with the help of theories and methods of computer science
  • can implement and test computer-aided solutions for the analysis of music data (e.g. music synchronization, structural analysis, content-based retrieval, source separation)

Inhalt:

  • Representations of music
  • Fourier analysis of signals
  • Music synchronization
  • Analysis of music structure
  • Chord recognition
  • Tempo and beat tracking
  • Content-based audio retrieval
  • Musically informed audio decomposition

Arbeitsaufwand:

  • Attendance time = 56 hours: 2 SWS lecture 2 SWS exercise
  • Independent work = 94 hours: Preparation and follow-up of lectures and exercises, working on exercises and programming tasks, course project

Prüfungsvorleistungen: Studien-/Prüfungsleistungen: Lehrform / SWS:

Oral examination: Announcement of the necessary preliminary work in the first week of the course and on the lecture website Schein (oral): Announcement of the necessary preliminary work in the first week of the course and on the lecture website

Lecture (2 SWS) Exercise (2 SWS)

Voraussetzungen nach Prüfungsordnung: Empfohlene Voraussetzungen:

none


Medienformen: Literatur:


Meinard Müller: Fundamentals of Music Processing Using Python and Jupyter Notebooks 2nd edition, Springer 2021 ISBN: 978-3-030-69807-2

Hinweise:

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