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Vorlesungs- und Modulverzeichnis nach Studiengängen >> Systeme der Informations- und Multimediatechnik - Master of Science with Honors (SIM-MA) >>
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Music Processing Analysis (MPA)- Dozent/in
- Prof. Dr. Meinard Müller
- Angaben
- Vorlesung
2 SWS, benoteter Schein, Kredit: 2/2, ECTS-Studium, ECTS-Credits: 2,5, Sprache Englisch
Zeit und Ort: Mo 16:15 - 18:00, 3R4.04
ab 13.10.2014
- Studienfächer / Studienrichtungen
- WPF INF-MA 1-4
WF WING-MA 1-4
WPF CME-MA ab 1
WF SIM-DH 6-10
WF SIM-MA 1-4
WF WING-DH 6-10
WF EEI-MA 1-4
WPF IuK-MA 1-4
WF IuK-MA-MMS-EEI 1-4
- Empfohlene Literatur
- http://link.springer.com/book/10.1007/978-3-540-74048-3
- ECTS-Informationen:
- Title:
- Music Processing Analysis
- Credits: 2,5
- Prerequisites
- 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.
- Contents
- 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.
The following video gives a brief impression about this course: http://www.youtube.com/watch?v=iY243jku0UA
- Literature
- Meinard Müller
Information Retrieval for Music and Motion
http://www.amazon.de/Information-Retrieval-Motion-Meinard-M%C3%BCller/dp/product-description/3540740473
http://link.springer.com/book/10.1007/978-3-540-74048-3
- Zusätzliche Informationen
- Schlagwörter: Audio, Music, Signal Processing, Fourier Transform, Feature Design, Fingerprinting, Beat Tracking, Music Information Retrieval, AudioLabs
Erwartete Teilnehmerzahl: 15, Maximale Teilnehmerzahl: 30
www: http://www.youtube.com/watch?v=iY243jku0UA
- Verwendung in folgenden UnivIS-Modulen
- Startsemester WS 2014/2015:
- Music Processing Analysis (MPA)
- Music Processing Analysis - Lecture & Exercise (MPA-LE)
- Institution: International Audio Laboratories Erlangen (AudioLabs)
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