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    A HMM-Based Pitch Tracker for Audio Queries 

    Nicola Orio; Matteo Sisti Sette (Johns Hopkins University, 2003-10-26)
    In this paper we present an approach to the transcription of musical queries based on a HMM. The HMM is used to model the audio features related to the singing voice, and the transcription is obtained through Viterbi ...
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    The C-BRAHMS project 

    Kjell Lemström; Veli Mäkinen; Anna Pienimäki; Mika Turkia; Esko Ukkonen (Johns Hopkins University, 2003-10-26)
    The C-BRAHMS project develops computational methods for content-based retrieval and analysis of music data. A summary of the recent algorithmic and experimental developments of the project is given. A search engine developed ...
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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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    Exploring Music Collections by Browsing Different Views 

    Elias Pampalk; Simon Dixon; Gerhard Widmer (Johns Hopkins University, 2003-10-26)
    The availability of large music collections calls for ways to efficiently access and explore them. We present a new approach which uses descriptors derived from audio analysis and meta-information to create different views ...
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    How People Describe Their Music Information Needs: A Grounded Theory Analysis Of Music Queries 

    David Bainbridge; Sally Jo Cunningham; J. Stephen Downie (Johns Hopkins University, 2003-10-26)
    How do users of music information retrieval (MIR) systems express their needs? Using a Wizard of Oz approach to system evaluation, combined with a grounded theory analysis of 502 real-world music queries posted to Google ...
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    Chopin Early Editions: Construction and Usage of Online Digital Scores 

    Tod Olson; J. Stephen Downie (Johns Hopkins University, 2003-10-26)
    The University of Chicago Library has digitized a collection of 19th century music scores. The online collection is generated programmatically from the scanned images and human-created descriptive and structural metadata, ...

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    AuthorJ. Stephen Downie (2)Anna Pienimäki (1)David Bainbridge (1)Elias Pampalk (1)Esko Ukkonen (1)Gerhard Widmer (1)Hiroki Hashiguchi (1)Kjell Lemström (1)Masataka Goto (1)Matteo Sisti Sette (1)... View MoreSubject
    General Interest (6)
    IR Systems and Algorithms (2)Audio (1)Digital Libraries (1)Metadata (1)Perception and Cognition (1)... View MoreDate Issued2003 (6)Has File(s)Yes (6)

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