Sound and Music Information Research

2018/2019

Prerequisite/Recommended prerequisite for participation in the module

The module adds to the knowledge obtained in the 1st semester.

Content, progress and pedagogy of the module

Explore the development and analysis of practical and automatic methods for making accessible information contained in abstract formats of sound and music signals, such as symbolic (sheet music), or digital audio samples, i.e., all the information that currently requires experienced humans to extract. These include various tasks in which one can analyze sound and music signals, e.g., determining the instruments playing, the pitch(es), the rhythm, beat, chord sequences, musical form, inferring or identifying the artist and song playing, organizing a music collection by genres (e.g., blues and/or hip hop), mood, (un)recommending music, creating playlists, composing new music, automatic mastering, recognizing auditory environments, and so on.

Learning objectives

Knowledge

Students who complete the module will gain knowledge as follows:

  • 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 sound and music information research.
  • Must be able to summarize the importance and relevance of human perception for sound music information research.

Skills

Students who complete the module will gain skills as follows:

  • Must be able to analyze and compare a variety of approaches to audio and music content classification, retrieval, and description.
  • Must be able to implement and evaluate methods for sound and music classification.
  • Must be able to explain the concepts behind a complex integrated system for working with the contents of audio and/or music signals.
  • 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 work.

Competences

Students who complete the module will gain competences as follows:

  • Must be able to design and implement a sound or music information retrieval system.
  • Must be able to discuss, evaluate, and compare sound and music information retreival systems.

Type of instruction

Academically supervised student-governed problem oriented project work.

Exam

Exams

Name of examSound and Music Information Research
Type of exam
Oral exam based on a project
In accordance with the current Joint Programme Regulations 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 scale.
ECTS15
Permitted aids
With certain aids, see list below
Please see Semester Description.
Assessment7-point grading scale
Type of gradingExternal examination
Criteria of assessmentThe criteria for the evaluation are specified in the Joint Programme Regulations.

Facts about the module

Danish titleInformationsøgning i lyd og musik
Module codeMSNSMCM2173
Module typeProject
Duration1 semester
SemesterSpring
ECTS15
Language of instructionEnglish
Location of the lectureCampus Copenhagen, Campus Aalborg
Responsible for the module

Organisation

Study BoardStudy Board of Media Technology
FacultyTechnical Faculty of IT and Design