Now showing items 21-40 of 48

    • Rhythmic Similarity through Elaboration 

      Mitchell Parry; Irfan Essa (Johns Hopkins University, 2003-10-26)
      Rhythmic similarity techniques for audio tend to evaluate how close to identical two rhythms are. This paper proposes a similarity metric based on rhythmic elaboration that matches rhythms that share the same beats regardless ...
    • The MUSART Testbed for Query-By-Humming Evaluation 

      Roger Dannenberg; William Birmingham; George Tzanetakis; Colin Meek; Ning Hu; Bryan Pardo (Johns Hopkins University, 2003-10-26)
      Evaluating music information retrieval systems is acknowledged to be a difficult problem. We have created a database and a software testbed for the systematic evaluation of various query-by-humming (QBH) search systems. ...
    • Effectiveness of HMM-Based Retrieval on Large Databases 

      Jonah Shifrin; William Birmingham (Johns Hopkins University, 2003-10-26)
      We have investigated the performance of a hidden Markov model based QBH retrieval system on a large musical database. The database is synthetic, generated from statistics gleaned from our (smaller) database of musical ...
    • 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 ...
    • 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 ...
    • 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 ...
    • The dangers of parsimony in query-by-humming applications 

      Colin Meek; William Birmingham (Johns Hopkins University, 2003-10-26)
      Query-by-humming systems attempt to address the needs of the non-expert user, for whom the most natural query format -- for the purposes of finding a tune, hook or melody of unknown providence -- is to sing it. While human ...
    • 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 ...
    • 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 ...
    • Automatic Mood Detection from Acoustic Music Data 

      Dan Liu; Lie Lu; Hong-Jiang Zhang (Johns Hopkins University, 2003-10-26)
      Music mood describes the inherent emotional meaning of a music clip. It is helpful in music understanding and music search and some music-related applications. In this paper, a hierarchical framework is presented to automate ...
    • Was Parsons right? An experiment in usability of music representations for melody-based music retrieval 

      Alexandra Uitdenbogerd; Yaw Wah Yap (Johns Hopkins University, 2003-10-26)
      In 1975 Parsons developed his dictionary of musical themes based on a simple contour representation. The motivation was that people with little training in music would be able to identify pieces of music. We decided to ...
    • Effects of song familiarity, singing training and recent song exposure on the singing of melodies 

      Steffen Pauws (Johns Hopkins University, 2003-10-26)
      Findings of a singing experiment are presented in which trained and untrained singers sang melodies of familiar and less familiar Beatles songs from memory and after listening to the original song on CD. Results showed ...
    • 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 ...
    • 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 ...
    • Determining Context-Defining Windows: Pitch Spelling using the Spiral Array 

      Elaine Chew; Yun-Ching Chen (Johns Hopkins University, 2003-10-26)
      This paper presents algorithms for pitch spelling using the Spiral Array model. Accurate pitch selling, assigning contextually consistent letter names to pitch numbers (for example, MIDI), is a critical component of music ...
    • Automatic Music Transcription from Multiphonic MIDI Signals 

      Haruto Takeda; Takuya Nishimoto; Shigeki Sagayama (Johns Hopkins University, 2003-10-26)
      For automatically transcribing human-performed polyphonic music recorded in the MIDI format, rhythm and tempo are decomposed through probabilistic modeling using Viterbi search in HMM for recognizing the rhythm and EM ...