Browsing Centre for Digital Music (C4DM) by Subject "deep learning"

Deep Learning and Music Adversaries

STURM, BLT; Kereliuk, C; Larsen, J (IEEE Explore, 2015-09-10)

An {\em adversary} is essentially an algorithm intent on making a classification system perform in some particular way given an input, e.g., increase the probability of a false negative. Recent work builds adversaries for ...

Deep Learning for Audio Event Detection and Tagging on Low-Resource Datasets

Morfi, V; Stowell, D (2018-08)

An End-to-End Neural Network for Polyphonic Piano Music Transcription

Sigtia, S; Benetos, E; Dixon, S (2016-05)

``Horse'' Inside: Seeking Causes of the Behaviours of Music Content Analysis Systems

STURM, BLT (ACM, 2016-12-16)

Building systems that possess the sensitivity and intelligence to identify and describe high-level attributes in music audio signals continues to be an elusive goal, but one that surely has broad and deep implications for ...