Students
Tuition Fee
Start Date
Medium of studying
Duration
10 weeks
Details
Program Details
Degree
Masters
Major
Audio Engineering | Music Technology
Area of study
Arts | Information and Communication Technologies
Course Language
English
Intakes
Program start dateApplication deadline
2024-01-01-
About Program

Program Overview


Master in Sound and Music Computing

The Master in Sound and Music Computing is a program that focuses on the extraction and inference of meaningful features from music, indexing of music using these features, and the development of different search and retrieval schemes.


Overview

The program aims to make the world's vast store of music available to individuals.


Academic Program

The program includes a course on Music Information Retrieval, which provides a survey of the field of Music Information Retrieval (MIR). The course covers well-established techniques for the automatic description of audio content in terms of different facets, temporal scopes, and abstraction levels.


Music Information Retrieval Course

The course is offered in 10 weeks during the 2nd Term (January-March), with 25 hours of lectures. The class format includes 2.5 hours of lectures, hands-on exercises, and discussions per week.


Content

The course covers the following topics:


  • Introduction to MIR: history and evolution, music modalities and representations, applications, research topics and tasks.
  • Levels and facets of music content description.
  • Low-level descriptors and timbre.
  • Pitch content description.
  • Novelty detection and segmentation.
  • Chroma, chords and key estimation.
  • Rhythmic analysis.
  • Music similarity.
  • Classification and auto-tagging.
  • Context-based music description and indexing.
  • User properties and user context.
  • Evaluation in Music Information Retrieval.
  • Open challenges.
Format

The evaluation of the course is based on the following items:


  • Lab reports (60%)
  • Final exam (30%)
  • Participation in class (10%)

Scholarships

No information is provided on scholarships.


Internships

No information is provided on internships.


Teaching Faculty

The instructor for the Music Information Retrieval course is Martin Rocamora.


Thesis Projects

No information is provided on thesis projects.


Quality

No information is provided on quality.


FAQ

No information is provided on frequently asked questions.


Alumni

No information is provided on alumni.


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