Now showing items 1-20 of 48

    • Geometric Algorithms for Transposition Invariant Content-Based Music Retrieval 

      Esko Ukkonen; Kjell Lemström; Veli Mäkinen (Johns Hopkins University, 2003-10-26)
      We represent music as sets of points or sets of horizontal line segments in the Euclidean plane. Via this geometric representation we cast transposition invariant content-based music retrieval problems as ones of matching ...
    • 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 ...
    • Harmonic Analysis with Probabilistic Graphical Models 

      Christopher Raphael; Josh Stoddard (Johns Hopkins University, 2003-10-26)
      A technique for harmonic analysis is presented that partitions a piece of music into contiguous regions and labels each with the key, mode, and functional chord, e.g. tonic, dominant, etc. The analysis is performed with a ...
    • A scalable Peer-to-Peer System for Music Content and Information Retrieval 

      George Tzanetakis; Jun Gao; Peter Steenkiste (Johns Hopkins University, 2003-10-26)
      Currently a large percentage of internet traffice consists of music files, typically stored in MP3 compressed audio format, shared and exchanged over Peer-to-Peer (P2P) networks. Searching for music is performed by specifying ...
    • Chord Segmentation and Recognition using EM-Trained Hidden Markov Models 

      Alexander Sheh; Daniel P.W. Ellis (Johns Hopkins University, 2003-10-26)
      Automatic extraction of content description from commercial audio recordings has a number of important applications, from indexing and retrieval through to novel musicological analyses based on very large corpora of recorded ...
    • Classification of Dance Music by Periodicity Patterns 

      Simon Dixon; Elias Pampalk; Gerhard Widmer (Johns Hopkins University, 2003-10-26)
      This paper addresses the genre classification problem for a specific subset of music, standard and Latin ballroom dance music, using a classification method based only on timing information. We compare two methods of ...
    • Blind Clustering of Popular Music Recordings Based on Singer Voice Characteristics 

      Wei-Ho Tsai; Hsin-Min Wang; Dwight Rodgers; Shi-Sian Cheng; Hung-Min Yu (Johns Hopkins University, 2003-10-26)
      This paper presents an effective technique for automatically clustering undocumented music recordings based on their associated singer. This serves as an indispensable step towards indexing and content-based information ...
    • A multiple feature model for musical similarity retrieval 

      Eric Allamanche; Jürgen Herre; Oliver Hellmuth; Thorsten Kastner; Christian Ertel (Johns Hopkins University, 2003-10-26)
      Automated musical similarity search and retrieval has gained great attention in recent years, as testified by the number of proposed approaches on this topic. Despite the ``fuzzy'' nature of similarity, which varies from ...
    • Using Transportation Distances for Measuring Melodic Similarity 

      Rainer Typke; Panos Giannopoulos; Remco C. Veltkamp; Frans Wiering; René van Oostrum (Johns Hopkins University, 2003-10-26)
      Most of the existing methods for measuring melodic similarity use one-dimensional textual representations of music notation, so that melodic similarity can be measured by calculating editing distances. We view notes as ...
    • A Large-Scale Evaluation of Acoustic and Subjective Music Similarity Measures 

      Adam Berenzweig; Beth Logan; Daniel Ellis; Brian Whitman (Johns Hopkins University, 2003-10-26)
      Subjective similarity between musical pieces and artists is an elusive concept, but one that music be pursued in support of applications to provide automatic organization of large music collections. In this paper, we examine ...
    • Ground-Truth Transcriptions of Real Music from Force-Aligned MIDI Syntheses 

      Robert J. Turetsky; Daniel P. W. Ellis (Johns Hopkins University, 2003-10-26)
      Many modern polyphonic music transcription algorithms are presented in a statistical pattern recognition framework. But without a large corpus of real-world music transcribed at the note level, these algorithms are unable ...
    • 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 ...
    • Features for audio and music classification 

      Martin McKinney; Jeroen Breebaart (Johns Hopkins University, 2003-10-26)
      Four audio feature sets are evaluated in their ability to classify five general audio classes and seven popular music genres. The feature sets include low-level signal properties, mel-frequency spectral coefficients, and ...
    • Discovering Musical Pattern through Perceptive Heuristics. 

      Olivier Lartillot (Johns Hopkins University, 2003-10-26)
      This paper defends the view that the intricate difficulties challenging the emerging domain of Musical Pattern Discovery, which is dedicated to the automation of motivic analysis, will be overcome only through a thorough ...
    • Improving Polyphonic and Poly-Instrumental Music to Score Alignment 

      Ferréol Soulez; Xavier Rodet; Diemo Schwarz (Johns Hopkins University, 2003-10-26)
      Music alignment link events in a score and points on the audio performance time axis. All the parts of a recording can be thus indexed according to score information. The automatic alignment presented in this paper is based ...
    • 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 ...
    • 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 ...
    • Automatic Synchronization of Music Data in Score-, MIDI- and PCM-Format 

      Vlora Arifi; Michael Clausen; Frank Kurth; Meinard Müller (Johns Hopkins University, 2003-10-26)
      In this paper we present algorithms for the automatic time-synchronization of score-, MIDI- or PCM-data streams which represent the same polyphonic piano piece.
    • 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 ...
    • 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 ...