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Music Processing Analysis (MPA)2.5 ECTS (englische Bezeichnung: Music Processing Analysis)
(Prüfungsordnungsmodul: Music Processing - Analysis)
Modulverantwortliche/r: Meinard Müller Lehrende:
Meinard Müller
Start semester: |
WS 2018/2019 | Duration: |
1 semester | Cycle: |
jährlich (WS) |
Präsenzzeit: |
30 Std. | Eigenstudium: |
45 Std. | Language: |
Englisch |
Lectures:
Empfohlene Voraussetzungen:
In this course, we discuss a number of current research problems in music processing or music information retrieval (MIR) covering aspects from information science and digital signal processing. We provide the necessary background information and give numerous motivating examples so that no specialized knowledge is required. However, the students should have a solid mathematical background. The lecture is accompanied by readings from textbooks or the research literature. Furthermore, the students are required to experiment with the presented algorithms using MATLAB.
Inhalt:
Music signals possess specific acoustic and structural characteristics that are not shared by spoken language or audio signals from other domains. In fact, many music analysis tasks only become feasible by exploiting suitable music-specific assumptions. In this course, we study feature design principles that have been applied to music signals to account for the music-specific aspects. In particular, we discuss various musically expressive feature representations that refer to musical dimensions such as harmony, rhythm, timbre, or melody. Furthermore, we highlight the practical and musical relevance of these feature representations in the context of current music analysis and retrieval tasks. Here, our general goal is to show how the development of music-specific signal processing techniques is of fundamental importance for tackling otherwise infeasible music analysis problems.
Lernziele und Kompetenzen:
- Fachkompetenz
- Verstehen
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- Anwenden
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- Analysieren
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- Evaluieren (Beurteilen)
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- Lern- bzw. Methodenkompetenz
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- Selbstkompetenz
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- Sozialkompetenz
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Weitere Informationen:
Keywords: Audio, Music, Signal Processing, Fourier Transform, Feature Design, Fingerprinting, Beat Tracking, Music Information Retrieval, AudioLabs
www: http://www.audiolabs-erlangen.de/fau/professor/mueller/teaching/ws2015_mpa
Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan:
- Berufspädagogik Technik (Bachelor of Science)
(Po-Vers. 2011 | TechFak | Berufspädagogik Technik (Bachelor of Science) | Studienrichtung Elektrotechnik und Informationstechnik | Wahlpflichtmodule Fachwissenschaft | Music Processing - Analysis)
Dieses Modul ist daneben auch in den Studienfächern "Berufspädagogik Technik (Master of Education)", "Communications and Multimedia Engineering (Master of Science)", "Elektrotechnik, Elektronik und Informationstechnik (Bachelor of Science)", "Elektrotechnik, Elektronik und Informationstechnik (Master of Science)", "Informations- und Kommunikationstechnik (Master of Science)" verwendbar. Details
Studien-/Prüfungsleistungen:
Music Processing - Analysis (Prüfungsnummer: 68901)
(englischer Titel: Music Processing - Analysis)
- Prüfungsleistung, mündliche Prüfung, Dauer (in Minuten): 30, benotet
- Anteil an der Berechnung der Modulnote: 100.0 %
- Erstablegung: WS 2018/2019, 1. Wdh.: SS 2019
1. Prüfer: | Meinard Müller |
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