Sound and Music Signal Analysis

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

The course introduces the fundamentals sound and music analysis: 1) methods required to perform analysis of sound and music signals; 2) representations commonly used in sound and music analysis; 3) various analysis tasks involving sound and music representations. The first part focuses on the basic methods, e.g., spectral analysis, parameter estimation, audio decomposition methods, filterbanks, etc. The second part includes commonly used representations for characterizing sound and music signals, e.g., parametric models, spectrograms, mel-frequency cepstral cofficients, chromagrams, and source-filter models. The third part focuses on examples of sound and music analysis tasks, e.g., tuning of musical instruments, transcription of music, key and chord detection, musical structure analysis, and modification of sound and music signals.

Learning objectives

Knowledge

Students who complete the course module will obtain the following qualifications:

  • Must be able to understand and describe spectral analysis, parameter estimation, methods for audio decompositions, and filterbanks.
  • Must be able to distinguish between pitch, loudness and timbre, and explain how these relate to the various representations.
  • Must be able to understand and identify how audio analysis tasks relate to human sound perception, and characteristics of music and sound.

Skills

Students who complete the course module will obtain the following qualifications:

  • Must be able to analyze and explain the tools and representation used for a given sound and music analysis task.
  • Must be able to select, implement and apply selected methods for analysis of sound and music signals.
  • Must be able to evaluate the performance and properties of the selected methods and representations for sound and music analysis.
  • Must be able to explain and argue for the assumptions made when using particular tools and representations for sound and music analysis.

Competences

Students who complete the course module will obtain the following qualifications:

  • Must be able to understand and evaluate research in the area of sound and music signal analysis.
  • Must be able to discuss and evaluate the appropriateness of various representations for a given sound and musical analysis task.
  • Must be able to choose between and judge methods and representations for sound and music analysis.

Type of instruction

Lectures with exercises.



Exam

Exams

Name of examSound and Music Signal Analysis
Type of exam
Written or oral exam
In accordance with the current Joint Programme Regulations and directions on examination from the Study Board for Media Technology: Oral or written examination with internal censor, grading according to the 7-point scale.
ECTS5
Permitted aids
With certain aids, see list below
Please see Semester Description.
Assessment7-point grading scale
Type of gradingInternal examination
Criteria of assessmentThe criteria for the evaluation are specified in the Joint Programme Regulations.

Facts about the module

Danish titleAnalyse af musik- og lydsignaler
Module codeMSNSMCM2172
Module typeCourse
Duration1 semester
SemesterSpring
ECTS5
Location of the lectureCampus Copenhagen, Campus Aalborg
Responsible for the module

Organisation

Study BoardStudy Board of Media Technology
FacultyTechnical Faculty of IT and Design
SchoolSchool of Information and Communication Technology