Technical Program

AASP-L1: Music - Transcription

Session Type: Lecture
Time: Tuesday, May 28, 10:50 - 12:50
Location: Room 121/122
Session Chair: Malcolm Slaney, Microsoft Research
 
AASP-L1.1: EXPLOITING STRUCTURAL RELATIONSHIPS IN AUDIO MUSIC SIGNALS USING MARKOV LOGIC NETWORKS
         Helene Papadopoulos; Laboratoire des Signaux et Systemes (L2S)
         George Tzanetakis; University of Victoria
 
AASP-L1.2: A DISCRIMINATIVE APPROACH TO POLYPHONIC PIANO NOTE TRANSCRIPTION USING SUPERVISED NON-NEGATIVE MATRIX FACTORIZATION
         Felix Weninger; Technische Universität München
         Christian Kirst; Technische Universität München
         Björn Schuller; Technische Universität München
         Hans-Joachim Bungartz; Technische Universität München
 
AASP-L1.3: DOES INHARMONICITY IMPROVE AN NMF-BASED PIANO TRANSCRIPTION MODEL?
         François Rigaud; Télécom ParisTech
         Antoine Falaize; IRCAM (Institut de Recherche et Coordination Acoustique/Musique)
         Bertrand David; Télécom ParisTech
         Laurent Daudet; Paris Diderot University
 
AASP-L1.4: AUTOMATIC MUSIC TRANSCRIPTION USING ROW WEIGHTED DECOMPOSITIONS
         Ken O'Hanlon; Queen Mary University of London
         Mark D. Plumbley; Queen Mary University of London
 
AASP-L1.5: UNSUPERVISED TRAINING OF DETECTION THRESHOLD FOR POLYPHONIC MUSICAL NOTE TRACKING BASED ON EVENT PERIODICITY
         Tiago Fernandes Tavares; University of Campinas
         Jayme Garcia Arnal Barbedo; Embrapa Agricultural Informatics
         Romis Attux; University of Campinas
         Amauri Lopes; University of Campinas
 
AASP-L1.6: MISSING TEMPLATE ESTIMATION FOR USER-ASSISTED MUSIC TRANSCRIPTION
         Holger Kirchhoff; Queen Mary University of London
         Simon Dixon; Queen Mary University of London
         Anssi Klapuri; Ovelin