ICASSP 2010 - 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing - March 14 - 19, 2010 - Dallas, Texas, USA
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SS-L5: Music Signal Processing Exploiting Musical Knowledge

Session Type: Lecture
Time: Wednesday, March 17, 13:30 - 15:30
Location: Room A3
Session Chairs: Meinard Mueller, Saarland University and Max-Planck-Institut fuer Informatik and Shigeki Sagayama, The University of Tokyo
 
  SS-L5.1: SINGING INFORMATION PROCESSING BASED ON SINGING VOICE MODELING
         Masataka Goto; National Institute of Advanced Industrial Science and Technology (AIST)
         Takeshi Saitou; National Institute of Advanced Industrial Science and Technology (AIST)
         Tomoyasu Nakano; National Institute of Advanced Industrial Science and Technology (AIST)
         Hiromasa Fujihara; National Institute of Advanced Industrial Science and Technology (AIST)
 
  SS-L5.2: SOUND SOURCE SEPARATION IN MONAURAL MUSIC SIGNALS USING EXCITATION-FILTER MODEL AND EM ALGORITHM
         Anssi Klapuri; Queen Mary University of London
         Tuomas Virtanen; Tampere University of Technology
         Toni Heittola; Tampere University of Technology
 
  SS-L5.3: MULTIMODAL SIMILARITY BETWEEN MUSICAL STREAMS FOR COVER VERSION DETECTION
         Rémi Foucard; Telecom ParisTech CNRS-LTCI
         Jean-Louis Durrieu; Telecom ParisTech CNRS-LTCI
         Mathieu Lagrange; Telecom ParisTech CNRS-LTCI
         Gael Richard; Telecom ParisTech CNRS-LTCI
 
  SS-L5.4: HMM-BASED APPROACH FOR AUTOMATIC CHORD DETECTION USING REFINED ACOUSTIC FEATURES
         Yushi Ueda; University of Tokyo
         Yuki Uchiyama; University of Tokyo
         Takuya Nishimoto; University of Tokyo
         Nobutaka Ono; University of Tokyo
         Shigeki Sagayama; University of Tokyo
 
  SS-L5.5: CYCLIC TEMPOGRAM - A MID-LEVEL TEMPO REPRESENTATION FOR MUSIC SIGNALS
         Peter Grosche; Saarland University and MPI Informatik
         Meinard Mueller; Saarland University and MPI Informatik
         Frank Kurth; Fraunhofer-FKIE
 
  SS-L5.6: NOTE ONSET DETECTION USING RHYTHMIC STRUCTURE
         Norberto Degara; University of Vigo
         Antonio Pena; University of Vigo
         Matthew E. P. Davies; Queen Mary University of London
         Mark D. Plumbley; Queen Mary University of London
 

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