2nd European Workshop on the Integration of Knowledge, Semantics and Digital Media Technology (EWIMT 2005) 2005
DOI: 10.1049/ic.2005.0748
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The SemanticHIFI project: content-based management and manipulation of musical recordings

Abstract: The SemanticHIFI project aims at designing and prototyping tomorrow's Hi-fi systems, which will provide music lovers with innovative functions of management and manipulation of musical contents. The limitations of current equipments are mainly related to those of the music distribution media (album-based audio recordings in stereo format), with poor control features and interfaces (album/ track selection, play, stop, volume, etc.). Enabling the manipulation of richer media and related metadata (either distribu… Show more

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Cited by 2 publications
(3 citation statements)
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“…IRCAM was involved in the coordination of the first large-scale music indexing R&D projects carried out at a French national level with the ECRINS project [Mullon et al 2002] and at a European level with the CUIDADO project (2001)(2002)(2003) that systematically investigated all possible applications of the automatic extraction of musical contents from signal and symbolic materials [Vinet et al 2002] and proposed inputs to the MPEG7 standard [ISO/IEC 2002, Peeters et al 2000. More recently, the SemanticHIFI European project 9 was dedicated to designing future Hi-Fi systems through the experimentation of advanced feature-based interfaces for the manipulation of musical recordings [Vinet 2005[Vinet , 2006. Numerous advances resulted from these studies, concerning the automatic extraction of various features, systems for the automatic classification of sounds, and the automatic extraction of the temporal structure of songs [Peeters 2005[Peeters , 2006a[Peeters , 2006b[Peeters , 2007a[Peeters , 2007b.…”
Section: Applications Of Music Indexingmentioning
confidence: 99%
See 1 more Smart Citation
“…IRCAM was involved in the coordination of the first large-scale music indexing R&D projects carried out at a French national level with the ECRINS project [Mullon et al 2002] and at a European level with the CUIDADO project (2001)(2002)(2003) that systematically investigated all possible applications of the automatic extraction of musical contents from signal and symbolic materials [Vinet et al 2002] and proposed inputs to the MPEG7 standard [ISO/IEC 2002, Peeters et al 2000. More recently, the SemanticHIFI European project 9 was dedicated to designing future Hi-Fi systems through the experimentation of advanced feature-based interfaces for the manipulation of musical recordings [Vinet 2005[Vinet , 2006. Numerous advances resulted from these studies, concerning the automatic extraction of various features, systems for the automatic classification of sounds, and the automatic extraction of the temporal structure of songs [Peeters 2005[Peeters , 2006a[Peeters , 2006b[Peeters , 2007a[Peeters , 2007b.…”
Section: Applications Of Music Indexingmentioning
confidence: 99%
“…The current reconfiguration of the music distribution system employing digital networks makes it possible, for the first time, to overcome a number of limitations of the exchange formats toward rich data sets that could include multi-channel audio data, symbolic data, and metadata and whose transmission could be scaled down to match the capacities of client terminals. The availability of rich musical data on client terminals could yield new interactive interfaces for browsing within the musical material as demonstrated in the SemanticHIFI project [Vinet 2006] or for collaborative distributed performance or production. These interfaces may feature a form of fusion of the functions of listening devices and electronic instruments that have traditionally been separated in the consumer electronic market.…”
Section: Toward New Interactive Musical Formsmentioning
confidence: 99%
“…Using music content descriptive metadata for facilitating content manipulation for amateur listeners is an emerging research area. For an overview of some earlier approaches see Vinet [2005].…”
Section: Introductionmentioning
confidence: 99%