Prerequisite/Recommended prerequisite for
participation in the module
1st semester of SMC Master or similar
Content, progress and pedagogy of the
Explore the development and analysis of practical and automatic
methods for making accessible information contained in abstract
formats of music, such as symbolic (sheet music), or digital audio
samples (MP3), i.e., all the information that currently requires
experienced human to extract. These include various tasks in which
one can analyze music signals for, e.g., inferring or identifying
the artist and song playing in a noisy environment like a pub (c.f.
Shazam), organizing a music collection by genres (e.g., blues
and/or hip hop), mood (e.g., restful or excited), or use (e.g.,
relaxation or exercise), determining the instruments playing in a
recording (e.g., guitar and gong), the recording type (e.g., live
or studio), (un)recommending music (e.g., “if you like Gustav
Winckler, then you will not like L.O.C.”), creating playlists
(e.g., “suggest a mix of songs from my collection for my new
girlfriend”), composing new music (e.g., “mash together this Gustav
Winckler song and that L.O.C. song”), automatic mastering (e.g.,
“what changes do I need to make to my song to make it more
Pop-sounding?”), and so on.
Students who complete the module will gain knowledge as
- Must be able to describe and distinguish between methods of
content classification, retrieval and description for audio and
- Must be able to describe the structure of systems for audio or
music classification, retrieval, and description.
- Must be able to distinguish between supervised and unsupervised
learning, and how they are used in music information research.
- Must be able to identify and describe low-, mid- and high-level
representations of sound and music, and how they are used in music
- Must be able to summarize the importance and relevance of human
perception for music information research.
- Must be able to summarize and distinguish the experimental
designs and figure of merits to use in music information
Students who complete the module will gain skills as
- Must be able to analyze and compare a variety of approaches to
audio and music content classification, retrieval, and
- Must be able to explain and compare a variety of approaches to
evaluating systems for audio and music content classification,
retrieval, and description.
- Must be able to explain the concepts behind a complex
integrated system for working with the contents of audio and/or
music signals, e.g., a sound search engine, query-by-humming or
–example, music identification through fingerprint comparison,
speech-driven menu system, and so on.
- Must be able to analyze the approaches and algorithms applied
in a piece of scientific literature in music information research,
interpret the assumptions made, and relate them to the goals of the
- Must be able to implement and reproduce a piece of scientific
research literature in music information research, interpret the
results, and compare them with those of the original research.
- Must be able to explain and argue for all assumptions made in
Students who complete the module will gain competences as
- Must be able to evaluate and criticize within the format of a
critical annotation a recent piece of scientific literature
(journal articles and conference papers) related to music
information research (identifying its relevance and the perspective
of the authors, stating the scientific hypothesis, theory,
approaches and solutions, assumptions made, and its conclusions and
- Must be able to discuss and evaluate a complex integrated
system for working with the contents of audio and/or music signals,
e.g., a sound or music search engine, query-by-humming or –example,
music identification through fingerprinting, recommender systems,
and so on.
- Must be able to choose and judge frameworks for music
information retrieval in a variety of practical
Type of instruction
Academically supervised student-governed problem oriented
|Name of exam||Music Information Research|
|Type of exam|
Oral exam based on a project
In accordance with the current Framework Provisions and directions
on examination from the Study Board for Media Technology:
Oral examination with external censor based on a written project
report and a media-technological product plus an A/V production
that illustrates and summarizes the project.
The assessment is performed in accordance with the 7-point grading
With certain aids:
Please see Semester Description.
|Assessment||7-point grading scale|
|Type of grading||External examination|
|Criteria of assessment||The criteria for the evaluation are specified in the Framework