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 |