Poster Session Music and environmental sounds
in
Workshop: Machine Learning for Audio Signal Processing (ML4Audio)
Abstract
Poster abstracts and full papers: http://media.aau.dk/smc/ml4audio/
MUSIC: *Jordi Pons, Oriol Nieto, Matthew Prockup, Erik M. Schmidt, Andreas F. Ehmann and Xavier Serra. End-to-end learning for music audio tagging at scale *Jongpil Lee, Taejun Kim, Jiyoung Park and Juhan Nam. Raw Waveform based Audio Classification Using Samplelevel CNN Architectures *Alfonso Perez-Carrillo Estimation of violin bowing features from Audio recordings with Convolutional Networks
ENVIRONMENTAL SOUNDS: *Bhiksha Raj, Benjamin Elizalde, Rohan Badlani, Ankit Shah and Anurag Kumar. NELS NeverEnding Learner of Sounds *Tycho Tax, Jose Antich, Hendrik Purwins and Lars Maaløe Utilizing Domain Knowledge in End-to-End Audio Processing *Anurag Kumar and Bhiksha Raj. Deep CNN Framework for Audio Event Recognition using Weakly Labeled Web Data