4. ISMIR 2003: Baltimore, Maryland, USA

• E. Allamanche, Jürgen Herre, Oliver Hellmuth, T. Kastner, C. Ertel:
  A multiple feature model for musical similarity retrieval.
  
• Vlora Arifi, Michael Clausen, Frank Kurth, Meinard Müller:
  Automatic synchronization of music data in score-, MIDI- and PCM-format.
  
• David Bainbridge, Sally Jo Cunningham, J. Stephen Downie:
  Analysis of queries to a Wizard-of-Oz MIR system: Challenging assumptions about what people really want.
  
• Adam Berenzweig, Beth Logan, Daniel P. W. Ellis, Brian Whitman:
  A large-scale evalutation of acoustic and subjective music similarity measures.
  
• E. Chew, Y. C. Chen:
  Determining context-defining windows: Pitch spelling using the spiral array.
  
• Roger B. Dannenberg, William P. Birmingham, George Tzanetakis, Colin Meek, Ning Hu, Bryan Pardo:
  The MUSART testbed for query-by-humming evaluation.
  
• Stephen Davison:
  The Sheet Music Consortium: A Specialized Open Archives Initiative harvester project.
  
• T. De Mulder, Jean-Pierre Martens, Micheline Lesaffre, Marc Leman, Bernard De Baets:
  An auditory model based transriber of vocal queries.
  
• Simon Dixon, Elias Pampalk, Gerhard Widmer:
  Classification of dance music by periodicity patterns.
  
• Shyamala Doraisamy, Stefan M. Rüger:
  Position Indexing of Adjacent and Concurrent N-Grams for Polyphonic Music Retrieval.
  
• J. Stephen Downie:
  Toward the scientific evaluation of music information retrieval systems.
  
• Jana Eggink, Guy J. Brown:
  Application of missing feature theory to the recognition of musical instruments in polyphonic audio.
  
• Olivier Gillet, Gaël Richard:
  Automatic labeling of tabla signals.
  
• Masataka Goto:
  Music scene description project: Toward audio-based real-time music understanding.
  
• Masataka Goto, Hiroki Hashiguchi, Takuichi Nishimura, Ryuichi Oka:
  RWC Music Database: Music genre database and musical instrument sound database.
  
• S. Harford:
  Automatic segmentation, learning and retrieval of melodies using a self-organizing neural network.
  
• Sung-Phil Heo, Motoyuki Suzuki, Akinori Ito, Shozo Makino:
  Three-dimensional continuous DP algorithm for multiple pitch candidates in a music information retrieval system.
  
• Olivier Lartillot:
  Discovering musical pattern through perceptual heuristics.
  
• Kjell Lemström, Veli Mäkinen, Anna Pienimäki, M. Turkia, Esko Ukkonen:
  The C-BRAHMS project.
  
• Micheline Lesaffre, Koen Tanghe, Gaëtan Martens, Dirk Moelants, Marc Leman, Bernard De Baets, Hans De Meyer, Jean-Pierre Martens:
  The MAMI query-by-voice experiment: collecting and annotating vocal queries for music information retrieval.
  
• Tao Li, Mitsunori Ogihara:
  Detecting emotion in music.
  
• Dan Liu, Lie Lu, HongJiang Zhang:
  Automatic mood detection from acoustic music data.
  
• Arie Livshin, Xavier Rodet:
  The importance of cross database evaluation in musical instrument sound classification: A critical approach.
  
• Namunu Chinthaka Maddage, Changsheng Xu, Ye Wang:
  An SVM-based classification approach to musical audio.
  
• Martin F. McKinney, Jeroen Breebaart:
  Features for audio and music classification.
  
• Colin Meek, William P. Birmingham:
  The dangers of parsimony in query-by-humming applications.
  
• T. Olson, S. J. Downie:
  Chopin early editions: The construction and usage of a collection of digital scores.
  
• Tod A. Olson: Building Chopin Early Editions [Presentation].
• Nicola Orio, M. Sisti Sette:
  An HMM-based pitch tracker for audio queries.
  
• Elias Pampalk, Simon Dixon, Gerhard Widmer:
  Exploring music collections by browsing different views.
  
• R. Mitchell Parry, Irfan A. Essa:
  Rhythmic similarity through elaboration.
  
• Steffen Pauws:
  Effects of song familiarity, singing training and recent song exposure on the singing of melodies.
  
• Charlotte Pedersen: Digital Sheet Music - The Danish Collaborative Project.
• Jeremy Pickens:
  Key-specific shrinkage techniques for harmonic models.
  
• Christopher Raphael, Josh Stoddard:
  Harmonic analysis with probabilistic graphical models.
  
• Julien Ricard, Perfecto Herrera:
  Using morphological description for generic sound retrieval.
  
• P. Roland:
  Design patterns in XML music representation.
  
• B. Schwartz:
  Music Notation as a MEI Feasability Test.
  
• Anthony Seeger:
  I Found It, How Can I Use It?" - Dealing With the Ethical and Legal Constraints of Information Access.
  
• Frank Seifert, Wolfgang Benn:
  Music identification by leadsheets: Converging perceptive and productive musical principles for estimation of semantic similarity of musical documents.
  
• Alexander Sheh, Daniel P. W. Ellis:
  Chord segmentation and recognition using EM-trained hidden markov models.
  
• Jonah Shifrin, William P. Birmingham:
  Effectiveness of HMM-based retrieval on large databases.
  
• Ferréol Soulez, Xavier Rodet, Diemo Schwarz:
  Improving polyphonic and poly-instrumental music to score alignment.
  
• Haruto Takeda, Takuya Nishimoto, Shigeki Sagayama:
  Automatic rhythm transcription from multiphonic MIDI signals.
  
• Wei-Ho Tsai, Hsin-Min Wang, Dwight Rodgers, Shih-Sian Cheng, Hung-Ming Yu:
  Blind clustering of popular music recordings based on singer voice characteristics.
  
• Robert J. Turetsky, Daniel P. W. Ellis:
  Ground-truth transcriptions of real music from force-aligned MIDI syntheses.
  
• Rainer Typke, Panos Giannopoulos, Remco C. Veltkamp, Frans Wiering, René van Oostrum:
  Using transportation distances for measuring melodic similarity.
  
• George Tzanetakis, Jun Gao, Peter Steenkiste:
  A scalable peer-to-peer system for music content and information retrieval.
  
• Alexandra L. Uitdenbogerd, Yaw Wah Yap:
  Was Parsons right? An experiment in usability of music representations for melody-based music retrieval.
  
• Esko Ukkonen, Kjell Lemström, Veli Mäkinen:
  Geometric algorithms for transposition invariant content based music retrieval.
  
• Avery Wang:
  An Industrial Strength Audio Search Algorithm.
  
• Gavin Wood, Simon O'Keefe:
  Quantitative comparisons into content-based music recognition with the self organising map.
  

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