Switch to English
Sound and music technology
Cursus informatieRooster
Studiepunten (ECTS)7,5
Categorie / NiveauM (M (Master))
CursustypeCursorisch onderwijs
Aangeboden doorFaculteit Betawetenschappen; Graduate School of Natural Sciences; Graduate School of Natural Sciences;
Contactpersoondr. A. Volk
drs. M.E. Visscher
Overige cursussen docent
Contactpersoon van de cursus
dr. A. Volk
Overige cursussen docent
dr. A. Volk
Overige cursussen docent
2  (14-11-2022 t/m 03-02-2023)
TimeslotC: C (MA-mid/namiddag,DI-middag, DO-ocht)
Cursusinschrijving geopendvanaf 19-09-2022 t/m 30-09-2022
AanmeldingsprocedureOsiris Student
Inschrijven via OSIRISJa
Inschrijven voor bijvakkersJa
Na-inschrijving geopendvanaf 24-10-2022 t/m 25-10-2022
Plaatsingsprocedureadministratie onderwijsinstituut

During the course you require basic knowledge and understanding of different aspects of musical information, such as melodic, rhythmic, harmonic and timbral information.
At the end of the course you will be able to address the specific challenges involved in modelling these aspects of music information for key topics in sound and media technology.
You will be able to evaluate the pros and cons of different state-of-the-art techniques developed for specific important tasks in games and media.
Moreover, you will be able to reflect on the potential of selected computational methods for modelling specific aspects of sound and music in the games and media context, to discuss perspectives of improvements in current computational approaches, and to apply your knowledge about these techniques in a creative manner within a final project.

After module A you will be able to:

  • name differences between sound and music and differences in digital representations formats
  • use appropriate terminology for describing sound and music through features
  • distinguish and recognize different roles of usage of sound and music in games
  • assess and discuss emotional and affective qualities of sound and music and their role for games

After module B you will be able to:

  • understand differences in basic and complex feature extraction and processing in audio and symbolic formats
  • understand and discuss different ways of evaluating computational models for classification and retrieval of similar musical objects based on features and on emotional qualities
  • creatively apply existing toolboxes for sound and music analysis
  • implement selected algorithms from the literature and have ideas on improvement

After module C you will be able to:

  • address specific challenges for creating sound and music for games
  • understand and utilize different forms of manipulation in audio and symbolic formats
  • assess the potential and challenges of different computational models for automatic music creation (such as composition, accompaniment, improvisation)


During the course we will assess your learning progress through short questionnaires regarding the assigned reading material, through discussions during the class, and evaluating your presentations on both the reading material and your final project in the last week. At the end of the course we will assess the learning outcomes of the course in a written exam.

The final grades will be determined as follows, while the exam needs to be passed in order to pass the course:

  • student presentations (20%)
  • final project (35%)
  • exam (45%)

A retake requires at least a 4 for the original test.

Sound and music provide powerful ways for impacting the human experience involved in the engagement with games and media. For instance, they are of crucial importance for the interactive and immersive qualities of games, which are key aspects in making games worthwhile to play. Sound and music are also crucial in the context of media technology. In order to enhance users experiences when listening to, interacting with and searching for music from large collections of digitized music that became available over recent decades, new technologies for processing digitized music and sound information need to be developed.

In this course, you will learn how to apply and develop computational methods to extract, process and utilize music information from digital sound and music in the context of newly emerging research areas within games and media. You will learn how sound and music information is crucial for the human experience, and how the computational modelling of sound and music contributes to the enrichment of this experience in games and media. This encompasses that you will get to know both basic concepts on how human listeners extract, make sense of and give meaning to information from sound and music, and how these basic concepts are used, researched and applied through computational technology.

The course is structured around three main modules:

  1. Sound and music for games
  2. Analysis, classification, and retrieval of sound and music for media
  3. Generation and manipulation of sound and music for games and media

The course will cover key topics for sound and music technology in the context of games and media, such as interactivity and immersion in games through sound and music (A), classification and retrieval of similar musical objects in multimedia (B), and the utilization of the emotional and affective qualities of music in games and media (A, C).
You will learn what specific technologies are developed and required within these key topics, such as automatic pattern discovery, voice separation, automatic segmentation, and feature extraction and manipulation (B).
For studying, discussing and employing these technologies you will get to know different representation forms of music information in audio and symbolic data (A, B), different musical dimensions such as melody, rhythm, harmony, timbre and loudness (A, B), and how they are modelled through computational features (A, B, C).
Moreover, you will learn about different general strategies for developing computational models for sound and music processing, such as model-based versus data-driven approaches, and about the challenges of evaluating these models.

Course form
Lectures that cover basic terminology and techniques, discussions of research papers about which students will give presentations, as well as learning by doing through a final project.
Students will present their project in the final week.

To be announced.

Je moet voldoen aan de volgende eisen
  • Toelatingsbeschikking voor de master toegekend
Verplicht materiaal

Minimum cijfer-

Switch to English