Verena Praher

1 article

Verena Praher is a Data Scientist with a background in Machine Learning, Explainable Artificial Intelligence and Sound Processing. During her PhD studies at the Institute of Computational Perception at JKU Linz, she focused on making explanations for deep models in Music Information Retrieval understandable for humans.

Articles

Music aesthetics

Concept-based Explanations for Music Emotion Recognition

Concept-based explanations have emerged as an approach to make models explainable in a human-understandable way. In this article, we investigate extracted concepts for a music emotion recognition model. In a listening experiment, we explore properties of found concepts and show how to present them to users. The article is based on our paper and introduces only parts of our research. More information is provided in the paper.

Verena Praher, Verena Szojak