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M2_ATIAM Automatic Description and Indexation

Université Pierre et Marie Curie

Docent
  • Bertrand David
Type
Lecture
Term
early spring semester
Degree level
None
Tution fees
None
Related fields
None
Course is part of module
Course is part of program
Exchange mobilities
Subject type
Optional
Study path
Master of Engineering / Master of Information Technology
Specialisation/branch
Eng-AC / Info-SAR - Acoustics, Signal Analysis and Information Technology Applied to Music (ATIAM)
Keywords
provide an overview of existing methods and current trends in automatic classification and indexing algorithms to annotate or recognize sound data in multimedia flow over the web: Automatic analysis methods for musical pieces (supervised and non-supervised methods, Markov chains) - Application to the automatic recognition of musical instrument, to the automatic segmentation and structuring of audio signals, multipitch detection, …
Total ECTS credit
3.0
Examination
written exam
Language
French
Webpage
http://www.atiam.ircam.fr/
Last modified
Nov. 30, 2024, 1:43 p.m.