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    Using morphological description for generic sound retrieval 

    Julien Ricard; Perfecto Herrera (Johns Hopkins University, 2003-10-26)
    Systems for sound retrieval are usually “source-centred”. This means that retrieval is based on using the proper keywords that define or specify a sound source. Although this type of description is of great interest, it ...
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    RWC Music Database: Music Genre Database and Musical Instrument Sound Database 

    Masataka Goto; Hiroki Hashiguchi; Takuichi Nishimura; Ryuichi Oka (Johns Hopkins University, 2003-10-26)
    This paper describes the design policy and specifications of the RWC Music Database, a copyright-cleared music database (DB) compiled specifically for research purposes. Shared DBs are common in other research fields and ...
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    A Specialized Open Archives Initiative Harvester for Sheet Music: A Project Report and Examination of Issues 

    Stephen Davison; Cynthia Requardt; Kristine Brancolini (Johns Hopkins University, 2003-10-26)
    The Open Archives Initiative (OAI) Sheet Music Project is a consortium of institutions building OAI-compliant data providers, a metadata harvester, and a web-based service provider for digital sheet music collections. The ...
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    Automatic Labelling of Tabla Signals 

    Olivier Gillet; Gaël Richard (Johns Hopkins University, 2003-10-26)
    Most of the recent developments in the field of music indexing and music information retrieval are focused on western music. In this paper, we present an automatic music transcription system dedicated to Tabla - a North ...
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    The MAMI Query-By-Voice Experiment: Collecting and annotating vocal queries for music information retrieval 

    Micheline Lesaffre; Koen Tanghe; Gaëtan Martens; Dirk Moelants; Marc Leman (Johns Hopkins University, 2003-10-26)
    The MIR research community requires coordinated strategies in dealing with databases for system development and experimentation. Manual annotated files can accelerate the development of accurate analysis tools for music ...
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    Application of missing feature theory to the recognition of musical instruments in polyphonic audio 

    Jana Eggink; Guy J. Brown (Johns Hopkins University, 2003-10-26)
    A system for musical instrument recognition based on a Gaussian Mixture Model (GMM) classifier is introduced. To enable instrument recognition when more than one sound is present at the same time, ideas from missing feature ...

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    AuthorCynthia Requardt (1)Dirk Moelants (1)Gaël Richard (1)Gaëtan Martens (1)Guy J. Brown (1)Hiroki Hashiguchi (1)Jana Eggink (1)Julien Ricard (1)Koen Tanghe (1)Kristine Brancolini (1)... View MoreSubject
    Metadata (6)
    Audio (3)Digital Libraries (1)General Interest (1)Music Analysis (1)... View MoreDate Issued2003 (6)Has File(s)Yes (6)

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