Now showing items 21-40 of 48

    • Music Scene Description Project: Toward Audio-based Real-time Music Understanding 

      Masataka Goto (Johns Hopkins University, 2003-10-26)
      This paper reports a research project intended to build a real-time music-understanding system producing intuitively meaningful descriptions of real-world musical audio signals, such as the melody lines and chorus sections. ...
    • Position Indexing of Adjacent and Concurrent N-Grams for Polyphonic Music Retrieval 

      Shyamala Doraisamy; Stefan Rüger (Johns Hopkins University, 2003-10-26)
      In this paper we examine the retrieval performance of adjacent and concurrent n-grams generated from polyphonic music data. We deploy a method to index polyphonic music using a word position indexer with the n-gram approach. ...
    • 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 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. ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • Detecting Emotion in Music 

      Tao Li; Mitsunori Ogihara (Johns Hopkins University, 2003-10-26)
      Detection of emotion in music sounds is an important problem in music indexing. This paper studies the problem of identifying emotion in music by sound signal processing. The problem is cast as a multiclass classification ...
    • An Auditory Model Based Transcriber of Vocal Queries 

      Tom De Mulder; Jean-Pierre Martens; Micheline Lesaffre; Marc Leman; Bernard De Baets; Hans De Meyer (Johns Hopkins University, 2003-10-26)
      In this paper a new auditory model-based transcriber of melodic queries produced by a human voice is presented. The newly presented system is tested systematically, together with some other state-of-the-art systems, on ...
    • A SVM ¨C Based Classification Approach to Musical Audio 

      Namunu Chinthaka Maddage; Changsheng Xu; Ye Wang (Johns Hopkins University, 2003-10-26)
      This paper describes an automatic heirarchical music classification approach based on support vector machines (SVM). Based on the proposed method, the music is classified into coursed classes such as vocal, instrumental ...
    • 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, ...
    • Three Dimensional Continuous DP Algorithm for Multiple Pitch Candidates in Music Information Retrieval System 

      Sungphil Heo; Motoyuki Suzuki; Akinori Ito; Shozo Makino (Johns Hopkins University, 2003-10-26)
      This paper threats theoretical and practical issues that implement a music information retrieval system based on query by humming. In order to extract accuracy features from the user's humming, we propose a new retrieval ...
    • The Importance of Cross Database Evaluation in Sound Classification 

      Arie Livshin; Xavier Rodet (Johns Hopkins University, 2003-10-26)
      In numerous articles (Martin and Kim, 1998; Fraser and Fujinaga, 1999; and many others) sound classification algorithms are evaluated using "self classification" - the learning and test groups are randomly selected out of ...