EASAIER Related Publications -

  Perceptual Watermarking Using Just Noticeable Difference Model Based on Block Classification   Ivan Damnjanovic, Ebroul Izquierdo, Queen Mary, University of London   PDF  
             
  The Sonic Visualiser: A Visualisation Platform for Semantic Descriptors from Musical Signals   Chris Cannam, Christian Landone, Mark Sandler, Juan Pablo Bello, Queen Mary, University of London   PDF  
             
  Application of segmentation and thumbnailing to music browsing and searching   Mark Levy, Mark Sandler, Centre for Digital Music, Queen Mary, University of London   PDF  
             
  Lightweight measures for timbral similarity of musical audio   Mark Levy, Mark Sandler, Centre for Digital Music, Queen Mary, University of London   PDF  
             
  Time Signature Detection by Using a Multi-Resolution Audio Similarity Matrix   Mikel Gainza, Eugene Coyle, Audio Research Group, Dublin Institute of Technology   PDF  
             
  Automating Ornamentation Transcription   Mikel Gainza, Eugene Coyle, Audio Research Group, Dublin Institute of Technology   PDF  
             
  Capacity Enhancement of Compressed Domain Watermarking Channel Using Duo-Binary Coding   Ivan Damnjanovic and Ebroul Ezquierdo, Queen Mary University of London   PDF  
             
  Enabling Access to Sound Archives Through Integration, Enrichment, Retrieval: the EASAIER Project   Chris Landone, Josh Reiss, Queen Mary University of London, Joe Harrop RSAMD   n/a Paper Accepted for the 8th International Conference on Music Information Retrieval September 2007
             
  The Upgrade of the Low Level Speech recognition for upper level model verification ( Az alacsony szintu beszédfelismerés mesterséges feljavítása magasabb szintu modellellenorzéshez.)   Német, András, Balázs, László, György, ALL   n/a Paper to be made available
             
  "What you really really want!" The EASAIER Project user driven approach to audio visual archive material and what it means for musicology   Joe Harrop, RSAMD    n/a Paper accepted for the CHARM/RMA Conference September 2007
             
  Automating Ornamentation Transcription   Mikel Gainza and Eugene Coyle, DIT   n/a Paper to be made available