224 citations · 673 across the 26 of their papers we have counts for
8 papers · 1 filter
Learning music audio representations via weak language supervision
Ilaria Manco, Emmanouil Benetos, Elio Quinton +1
Audio representations for music information retrieval are typically learned via supervised learning in a task-specific fashion. Although effective at producing state-of-the-art res…
Performer Identification From Symbolic Representation of Music Using Statistical Models
Syed Rifat Mahmud Rafee, Gyorgy Fazekas, Geraint A. ~Wiggins
Music Performers have their own idiosyncratic way of interpreting a musical piece. A group of skilled performers playing the same piece of music would likely to inject their unique…
Neural Waveshaping Synthesis
Ben Hayes, Charalampos Saitis, György Fazekas
We present the Neural Waveshaping Unit (NEWT): a novel, lightweight, fully causal approach to neural audio synthesis which operates directly in the waveform domain, with an accompa…
DoReMi: First glance at a universal OMR dataset
Elona Shatri, György Fazekas
The main challenges of Optical Music Recognition (OMR) come from the nature of written music, its complexity and the difficulty of finding an appropriate data representation. This…
Sketching sounds: an exploratory study on sound-shape associations
Sebastian Löbbers, Mathieu Barthet, György Fazekas
Sound synthesiser controls typically correspond to technical parameters of signal processing algorithms rather than intuitive sound descriptors that relate to human perception of s…
A Modulation Front-End for Music Audio Tagging
Cyrus Vahidi, Charalampos Saitis, György Fazekas
Convolutional Neural Networks have been extensively explored in the task of automatic music tagging. The problem can be approached by using either engineered time-frequency feature…
MusCaps: Generating Captions for Music Audio
Ilaria Manco, Emmanouil Benetos, Elio Quinton +1
Content-based music information retrieval has seen rapid progress with the adoption of deep learning. Current approaches to high-level music description typically make use of class…
Transfer Learning for Piano Sustain-Pedal Detection
Beici Liang, György Fazekas, Mark Sandler
Detecting piano pedalling techniques in polyphonic music remains a challenging task in music information retrieval. While other piano-related tasks, such as pitch estimation and on…