1. ISMIR 2000: Plymouth, Massachusetts, USA

• David Bainbridge:
  The role of Music IR in the New Zealand Digital Music Library project.
  
• Eloi Batlle, Pedro Cano:
  Automatic Segmentation for Music Classification using Competitive Hidden Markov Models.
  
• Juan Pablo Bello, Giuliano Monti, Mark B. Sandler:
  Techniques for Automatic Music Transcription.
  
• Daniel Bendor, Mark B. Sandler:
  Time Domain Extraction of Vibrato from Monophonic Instruments.
  
• Alain Bonardi:
  IR for Contemporary Music: What the Musicologist Needs.
  
• Wei Chai, Barry Vercoe:
  Using User Models in Music Information Retrieval Systems.
  
• Arbee L. P. Chen:
  Music Representation, Indexing and Retrieval at NTHU.
  
• G. Sayeed Choudhury, M. Droetboom, Tim DiLauro, Ichiro Fujinaga, Brian Harrington:
  Optical Music Recognition System within a Large-Scale Digitization Project.
  
• Michael Clausen, R. Engelbrecht, D. Meyer, J. Schmitz:
  PROMS: A Web-based Tool for Searching in Polyphonic Music.
  
• Dave Cliff, Heppie Freeburn:
  Exploration of Point-Distribution Models for Similarity-based Classification and Indexing of Polyphonic Music.
  
• Maxime Crochemore, Costas S. Iliopoulos, Yoan J. Pinzon:
  Finding Motifs with Gaps.
  
• Jon W. Dunn:
  Beyond VARIATIONS: Creating a Digital Music Library.
  
• Jonathan Foote:
  ARTHUR: Retrieving Orchestral Music by Long-Term Structure.
  
• Anastasia Georgaki, Spyros N. Raptis, Stelios Bakamidis:
  A Music Interface for Visually Impaired People in the WEDELMUSIC Environment. Design and Architecture.
  
• Michael Good:
  Representing Music Using XML.
  
• Perfecto Herrera-Boyer, Xavier Amatriain, Eloi Batlle, Xavier Serra:
  Towards Instrument Segmentation for Music Content Description: a Critical Review of Instrument Classification Techniques.
  
• David Huron:
  Perceptual and Cognitive Applications in Music Information Retrieval.
  
• Mari Itoh:
  Subject Search for Music: Quantitative Analysis of Access Point Selection.
  
• Özgür Izmirli:
  Using a Spectral Flatness Based Feature for Audio Segmentation and Retrieval.
  
• Kjell Lemström, S. Perttu:
  SEMEX - An efficient Music Retrieval Prototype.
  
• Francis J. Kiernan:
  Score-based Style Recognition Using Artificial Neural Networks.
  
• Youngmoo E. Kim, Wei Chai, Ricardo García, Barry Vercoe:
  Analysis of a Contour-based Representation for Melody.
  
• Steve Larson:
  Searching for Meaning: Melodic Patterns, Combinations, and Embellishments.
  
• Mary Levering:
  Intellectual Property Rights in Musical Works: Overview, Digital Library Issues and Related Initiatives.
  
• Karen Lin, Tim Bell:
  Integrating Paper and Digital Music Information Systems.
  
• Beth Logan:
  Mel Frequency Cepstral Coefficients for Music Modeling.
  
• Donald MacLellan, Carola Boehm:
  MuTaTeD'll: A System for Music Information Retrieval of Encoded Music.
  
• Jeremy Pickens:
  A Comparison of Language Modeling and Probabilistic Text Information Retrieval Approaches to Monophonic Music Retrieval.
  
• Perry Roland:
  XML4MIR: Extensible Markup Language for Music Information Retrieval.
  
• Jochen Schimmelpfennig, Frank Kurth:
  MCML - Music Contents Markup Language.
  
• Eleanor Selfridge-Field:
  What Motivates a Musical Query?.
  
• Perry R. Cook, George Tzanetakis:
  Audio Information Retrieval (AIR) Tools.
  
• Alexandra L. Uitdenbogerd:
  Music IR: Past, Present, and Future.
  
• Alexandra L. Uitdenbogerd, Justin Zobel:
  Music Ranking Techniques Evaluated.
  
• Thomas von Schroeter, Shyamala Doraisamy, Stefan M. Rüger:
  From Raw Polyphonic Audio to Locating Recurring Themes.