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 |
RĂ©mi 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 |