6 citations · 18 across the 6 of their papers we have counts for
6 papers
Pianist Identification Using Convolutional Neural Networks
Jingjing Tang, Geraint Wiggins, Gyorgy Fazekas
This paper presents a comprehensive study of automatic performer identification in expressive piano performances using convolutional neural networks (CNNs) and expressive features.…
Reconstructing Human Expressiveness in Piano Performances with a Transformer Network
Jingjing Tang, Geraint Wiggins, Gyorgy Fazekas
Capturing intricate and subtle variations in human expressiveness in music performance using computational approaches is challenging. In this paper, we propose a novel approach for…
A New Corpus for Computational Music Research and A Novel Method for Musical Structure Analysis
Filippo Carnovalini, Antonio Rodà, Nicholas Harley +2
Computational models of music, while providing good descriptions of melodic development, still cannot fully grasp the general structure comprised of repetitions, transpositions, an…
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…
Formal models of Structure Building in Music, Language and Animal Songs
Willem Zuidema, Dieuwke Hupkes, Geraint Wiggins +2
Human language, music and a variety of animal vocalisations constitute ways of sonic communication that exhibit remarkable structural complexity. While the complexities of language…
Words, Concepts, and the Geometry of Analogy
Stephen McGregor, Matthew Purver, Geraint Wiggins
This paper presents a geometric approach to the problem of modelling the relationship between words and concepts, focusing in particular on analogical phenomena in language and cog…