Technical Program

AASP-P9: Audio and Music Content Analysis

Session Type: Poster
Time: Wednesday, March 8, 16:00 - 18:00
Location: Churchill: Poster Area H
Session Chair: Sebastian Ewert,
 
AASP-P9.1: COVER SONG IDENTIFICATION WITH 2D FOURIER TRANSFORM SEQUENCES
         Prem Seetharaman; Northwestern University
         Zafar Rafii; Gracenote, Inc.
 
AASP-P9.2: REVISITING THE PROBLEM OF AUDIO-BASED HIT SONG PREDICTION USING CONVOLUTIONAL NEURAL NETWORKS
         Li-Chia Yang; Academia Sinica
         Szu-Yu Chou; Academia Sinica
         Jen-Yu Liu; Academia Sinica
         Yi-Hsuan Yang; Academia Sinica
         Yi-An Chen; KKBOX Inc.
 
AASP-P9.3: ENHANCED LBP TEXTURE FEATURES FROM TIME FREQUENCY REPRESENTATIONS FOR ACOUSTIC SCENE CLASSIFICATION
         Shamsiah Abidin; The University of Western Australia
         Roberto Togneri; The University of Western Australia
         Ferdous Sohel; Murdoch University
 
AASP-P9.4: DISCOVERING SOUND CONCEPTS AND ACOUSTIC RELATIONS IN TEXT
         Anurag Kumar; Carnegie Mellon University
         Bhiksha Raj; Carnegie Mellon University
         Ndapandula Nakashole; Carnegie Mellon University
 
AASP-P9.5: TOWARDS THE CHARACTERIZATION OF SINGING STYLES IN WORLD MUSIC
         Maria Panteli; Queen Mary University of London
         Rachel Bittner; New York University
         Juan Pablo Bello; New York University
         Simon Dixon; Queen Mary University of London
 
AASP-P9.6: A JOINT DETECTION-CLASSIFICATION MODEL FOR AUDIO TAGGING OF WEAKLY LABELLED DATA
         Qiuqiang Kong; University of Surrey
         Yong Xu; University of Surrey
         Wenwu Wang; University of Surrey
         Mark D. Plumbley; University of Surrey
 
AASP-P9.7: WORD LEVEL LYRICS-AUDIO SYNCHRONIZATION USING SEPARATED VOCALS
         Sang Won Lee; University of Michigan
         Jeffrey Scott; Gracenote
 
AASP-P9.9: PICKUP POSITION AND PLUCKING POINT ESTIMATION ON AN ELECTRIC GUITAR
         Zulfadhli Mohamad; Queen Mary University of London
         Simon Dixon; Queen Mary University of London
         Christopher Harte; Melodient Limited
 
AASP-P9.10: DEDUCTIVE REFINEMENT OF SPECIES LABELLING IN WEAKLY LABELLED BIRDSONG RECORDINGS
         Veronica Morfi; Queen Mary University of London
         Dan Stowell; Queen Mary University of London