Music Information Retrieval

Department of

Computational Perception

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Spezielle Kapitel aus Informatik: Music Information Retrieval

344.301, KV, 3h - 4.5 ECTS, SS 2013

Assist.-Prof. Dr. Markus Schedl

Time: Thursday, 13:45 - 16:15

Start: Thursday, March 7, 2013

Location: MT 226

The lecture will be taught in English.

Goals

This lecture gives an introduction to techniques and applications used in Music Information Retrieval. The main topics covered are feature extraction (content- and context-based features), similarity measurement, applications of MIR, data projection and visualization, and user interfaces.

The lecture will be accompanied by a pratical part, in which students will form groups and select one type of music context-based similarity category (for example, music similarities derived from Web pages, from P2P network traffic or queries, from co-occurrences in user's playlist, and so on). Then, different approaches and algorithms to determine music similarity will be re-implemented (according to literature that will largely be provided by the lecturer). Students are required to give a short presentation of their findings.

Please note that the lecture will be held partly blocked: see preliminary schedule below.

Preliminary Schedule (may change!)

07.03. Introduction to MIR, Content-based Feature Extraction I
14.03. Content-based Feature Extraction II
21.03. No Lecture!!!
11.04. Context-based Feature Extraction I
18.04. No Lecture!!!
25.04. No Lecture!!!
02.05. Literature Overview on Music-context-based Approaches
16.05. Similarity Measurement
23.05. Data Projection and Visualization of Different Music-related Data Types I
06.06. Data Projection and Visualization of Different Music-related Data Types II
13.06. User Interfaces
20.06. Presentation of the Practical Exercise's Results
27.06. Written Examination

last edited by ms at 2013-03-04