This seminar studies modern techniques for music information retrieval (MIR) and music recommendation. Nowadays, almost all music can be easily and cheaply accessed via the Internet, but at the same time music can be hard to find. This has created the demand for intelligent music retrieval and recommendation services which allow the user to discover artists and songs that he or she likes. MIR research has grown rapidly during the last ten years and some of the developed techniques are already used by millions of people.
This course introduces the various techniques for music retrieval and recommendation, including collaborative filtering, query by example of musical audio, automatic classification of the genre or mood of music, cover song identification, etc (see below for a list of topics).
Lectured Fall 2009, Periods 1-2
Suitable for postgraduate studies
Instructor: Anssi Klapuri
Literature: selected articles based on which the presentations are prepared
Exam is arranged on Tuesday 24.11. at 14:15 o'clock in TB222 (normal time and place). The exam questions are based on the presentation slides: if you have attended the seminar presentations, you do not need to study the source articles, but reading the presentation slides is enough. The exam is graded pass/fail.
Periods 1-2: Tuesday 14-16, TB222
Scheduled presentations and slides of presentations (forgot your password? e-mail anssi.klapuri at tut.fi)
Seminar attendance. -->
The first 2 x 45 minute lectures are given by the instructor. The rest of the seminar consists of student presentations.
Each individual student prepares a 45-minute presentation on a topic chosen together by the instructor and the student.