The paper discusses the development of an Augmented Reality (AR) Piano Improvisation Training System, ImproVISe. The system is co-designed with improvisation teachers and aims to enhance piano instruction by addressing…
Continue readingThis academic report by Jiameng Pu and Zafar Takhirov summarizes the Membership Inference Attacks (MIA) experiments of the Embedding Attack Project. The paper covers the evaluation of two main MIA…
Continue readingThis academic article focuses on the evaluation of generative models of expressive piano performance. These models are usually assessed by comparing their predictions to a human performance. The study presents…
Continue readingThis paper presents a study on automatic performer identification in expressive piano performances using Convolutional Neural Networks (CNNs) and expressive features. The study addresses the task of identifying virtuoso pianists,…
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