Herrera Boyer, Perfecto, 1964-Bello, Juan PabloWidmer, GerhardSandler, MarkCelma Herrada, ÒscarVignoli, FabioPampalk, EliasCano Vila, PedroPauws, SteffenSerra, Xavier2018-03-012018-03-012005Herrera P, Bello J, Widmer G, Sandler M, Celma Ò, Vignoli F, Pampalk E, Cano P, Pauws S, Serra X. SIMAC Semantic interaction with music audio contents. In: The 2nd European Workshop on the Integration of Knowledge, Semantics and Digital Media Technology, 2005. EWIMT; 2005 Nov 30 - Dec 1; London, UK. [London?]: IET; 2005. p. 399-406. DOI: 10.1049/ic.2005.07630-86341-595-40537-9989http://hdl.handle.net/10230/34025The 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.application/pdfeng© 2005 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The final published article can be found at http://digital-library.theiet.org/content/conferences/10.1049/ic.2005.0763SIMAC Semantic interaction with music audio contentsinfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1049/ic.2005.0763Semantic audioMusic information retrievalMusic similarityMusic recommendationMusic descriptioninfo:eu-repo/semantics/openAccess