Browsing School of Electronic Engineering and Computer Science by Author "Sturm"
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Deep Learning, Audio Adversaries, and Music Content Analysis
Sturm; Kereliuk, C; Larsen, J; IEEE Workshop on Applications of Signal Processing to Audio and AcousticsWe present the concept of {\em adversarial audio} in the context of deep neural networks (DNNs) for music content analysis. An adversary is an algorithm that makes minor perturbations to an input that cause major repercussions ... -
?` El Caballo Viejo? Latin genre recognition with deep learning and spectral periodicity
Sturm; Kereliuk, C; Larsen, J; Mathematics and Computation in Music (Springer, 2015-06-16)The ``winning'' system in the 2013 MIREX Latin Genre Classification Task was a deep neural network trained with simple features. An explanation for its winning performance has yet to be found. In previous work, we built ...