SIMAC: Semantic interaction with music audio contents

Perfecto Herrera, Juan Bello, Gerhard Widmer, Mark Sandler, Òscar Celma, Fabio Vignoli, Elias Pampalk, Pedro Cano, Steffen Pauws, Xavier Serra

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The SIMAC project addresses the study and development of innovative components for a music information retrieval system. The key feature is the usage and exploitation of semantic descriptors of musical content that are automatically extracted from music audio files. These descriptors are generated in two ways: as derivations and combinations of lower-level descriptors and as generalizations induced from manually annotated databases by the intensive application of machine learning. The project aims also towards the empowering (i.e. adding value, improving effectiveness) of music consumption behaviours, especially of those that are guided by the concept of similarity.

Original languageEnglish (US)
Title of host publication2nd European Workshop on the Integration of Knowledge, Semantics and Digital Media Technology, EWIMT 2005
Pages399-406
Number of pages8
Edition11099
DOIs
StatePublished - 2005
Event2nd European Workshop on the Integration of Knowledge, Semantics and Digital Media Technology, EWIMT 2005 - London, United Kingdom
Duration: Nov 30 2005Dec 1 2005

Publication series

NameIET Seminar Digest
Number11099
Volume2005

Other

Other2nd European Workshop on the Integration of Knowledge, Semantics and Digital Media Technology, EWIMT 2005
Country/TerritoryUnited Kingdom
CityLondon
Period11/30/0512/1/05

Keywords

  • Music Description
  • Music Information Retrieval
  • Music Recommendation
  • Music Similarity
  • Semantic Audio

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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