6 citations · 12 across the 7 of their papers we have counts for
8 papers
General Purpose Audio Effect Removal
Matthew Rice, Christian J. Steinmetz, George Fazekas +1
Although the design and application of audio effects is well understood, the inverse problem of removing these effects is significantly more challenging and far less studied. Recen…
JAZZVAR: A Dataset of Variations found within Solo Piano Performances of Jazz Standards for Music Overpainting
Eleanor Row, Jingjing Tang, George Fazekas
Jazz pianists often uniquely interpret jazz standards. Passages from these interpretations can be viewed as sections of variation. We manually extracted such variations from solo j…
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…
Adoption of AI Technology in the Music Mixing Workflow: An Investigation
Soumya Sai Vanka, Maryam Safi, Jean-Baptiste Rolland +1
The integration of artificial intelligence (AI) technology in the music industry is driving a significant change in the way music is being composed, produced and mixed. This study…
An Comparative Analysis of Different Pitch and Metrical Grid Encoding Methods in the Task of Sequential Music Generation
Yuqiang Li, Shengchen Li, George Fazekas
Pitch and meter are two fundamental music features for symbolic music generation tasks, where researchers usually choose different encoding methods depending on specific goals. How…
Differentiable Time-Frequency Scattering on GPU
John Muradeli, Cyrus Vahidi, Changhong Wang +4
Joint time-frequency scattering (JTFS) is a convolutional operator in the time-frequency domain which extracts spectrotemporal modulations at various rates and scales. It offers an…