Publications

Large-scale contrastive language-audio pretraining with feature fusion and keyword-to-caption augmentation

Read full publication. Published by Yusong Wu, Ke Chen, Tianyu Zhang, Yuchen Hui, Marianna Nezhurina, Taylor Berg-Kirkpatrick, Shlomo Dubnov. Abstract: Contrastive learning has shown remarkable success in the field of multimodal representation learning. In this paper, we propose a pipeline of contrastive language-audio pretraining to develop an audio representation by combining audio data with natural […]

Publications

Challenging epistemic biases in musical AI: a guerrilla approach to human – machine comprovisation based on Xenakis’s sketches for Evryali

Article by Pavlos Antoniadis, Department of Music Studies, University of Ioannina. Download article Abstract: The objective of this paper is to reflect on the affordances of sketches as interfaces for human and machine learning, by way of a case-study based on Iannis Xenakis’s Evryali (1973). First, we report on one-to-one mappings between the composer’s original […]

Conferences

IAPR Third International Conference on Discrete Geometry and Mathematical Morphology

Gonzalo Romero-García, Bloch, I., Agón, C. (2024). Mathematical Morphology Applied to Feature Extraction in Music Spectrograms. Third International Conference on Discrete Geometry and Mathematical Morphology, (DGMM), Firenze, Italy, accepted. More details on conference website The 3rd International Conference on Discrete Geometry and Mathematical Morphology (DGMM 2024) will be hosted in Florence, Italy, on April 15-18, […]