10 citations · 12 across the 5 of their papers we have counts for
7 papers
Learning Models for Query by Vocal Percussion: A Comparative Study
Alejandro Delgado, SkoT McDonald, Ning Xu +2
The imitation of percussive sounds via the human voice is a natural and effective tool for communicating rhythmic ideas on the fly. Thus, the automatic retrieval of drum sounds usi…
Timbre Transfer with Variational Auto Encoding and Cycle-Consistent Adversarial Networks
Russell Sammut Bonnici, Charalampos Saitis, Martin Benning
This research project investigates the application of deep learning to timbre transfer, where the timbre of a source audio can be converted to the timbre of a target audio with min…
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…
Modelling Moral Traits with Music Listening Preferences and Demographics
Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis
Music is an essential component in our everyday lives and experiences, as it is a way that we use to express our feelings, emotions and cultures. In this study, we explore the asso…
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…
Timbre Space Representation of a Subtractive Synthesizer
Cyrus Vahidi, George Fazekas, Charalampos Saitis +1
In this study, we produce a geometrically scaled perceptual timbre space from dissimilarity ratings of subtractive synthesized sounds and correlate the resulting dimensions with a…