Musik Information Retrieval
Winter
(engl. Music Information Retrieval )
Modulnummer: FIN-INF-120516 |
| Link zum LSF: | LSF |
| Verantwortung: | Sebastian Stober |
| Dozent:in: | Sebastian Stober |
| Lehrveranstaltungen: |
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| Verwendbarkeit: | - M.Sc. INF: Informatik - M.Sc. INGINF: Informatik - M.Sc. WIF: Informatik - M.Sc. DKE: Applied Data Science - M.Sc. DE: Grundlagen Informatik - M.Sc. VC: Computer Science |
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Kürzel MIR |
CP 6 |
Semester Winter |
Fachsem. ab 1. |
Dauer 1 Semester |
Sprache deutsch |
Niveau Master |
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:
- Music Representations
- Fourier Analysis of Signals
- Music Synchronization
- Music Structure Analysis
- Chord Recognition
- Tempo and Beat Tracking
- Content-Based Audio Retrieval
- Musically Informed Audio Decomposition
Arbeitsaufwand:
- Attendance time = 56 hours
- Independent work = 124 hours: Preparation and follow-up of lectures and exercises, working on exercises and programming tasks, course project
| Prüfungsvorleistungen: | Studien-/Prüfungsleistungen: | Lehrform / SWS: |
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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
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| Voraussetzungen nach Prüfungsordnung: | Empfohlene Voraussetzungen: |
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none
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| Medienformen: | Literatur: |
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Meinard Müller: Fundamentals of Music Processing Using Python and Jupyter Notebooks 2nd edition, Springer 2021 ISBN: 978-3-030-69807-2
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Hinweise: